├── README.md ├── data ├── AVVP_dataset_full.csv ├── AVVP_eval_audio.csv ├── AVVP_eval_visual.csv ├── AVVP_test_pd.csv ├── AVVP_train.csv └── AVVP_val_pd.csv ├── dataloader.py ├── fig └── model.jpeg ├── main.py ├── nets └── net_audiovisual.py ├── refine_label ├── denoised_label.npz └── final_label.npz ├── requirement.txt ├── scripts ├── extract_clip_feat.py └── extract_frames.py └── utils └── eval_metrics.py /README.md: -------------------------------------------------------------------------------- 1 | # Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective 2 | Yingying Fan, [Yu Wu](http://yu-wu.net/), Bo Du and [Yutian Lin](https://vana77.github.io/) 3 | 4 | Code for NeurIPS 2023 paper [Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective](https://arxiv.org/abs/2306.00595) 5 | 6 | ## Method Overview 7 | 8 | ![](https://github.com/fyyCS/LSLD/blob/main/fig/model.jpeg) 9 | 10 | ## Environment 11 | * python3.7+ 12 | 13 | You should install [CLIP](https://github.com/openai/CLIP) and [LAION-CLAP](https://github.com/LAION-AI/CLAP) 14 | and run 15 | ```python 16 | pip install -r requirement.txt 17 | ``` 18 | 19 | ## Prepare data 20 | 21 | 1. Resnet and VGGish features can be downloaded from [Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing](https://github.com/YapengTian/AVVP-ECCV20). 22 | We also provide [visual feature](https://drive.google.com/drive/folders/1JcOT_Pm17MAb-wQERXOCLQqoyT9nObJL?usp=sharing) extracted by CLIP and [audio feature](https://drive.google.com/file/d/12U0DFxbZG0IQTbsXFi5XTYi87z59Zlg7/view?usp=drive_link) extracted by LAION-CLAP. 23 | 2. Put the downloaded features into data/feats/. 24 | 3. We use CLIP(ViT-B/16) and [LAION-CLAP](https://huggingface.co/lukewys/laion_clap/blob/main/630k-audioset-best.pt) pre-trained on audioset. 25 | 26 | ## Label Denoising 27 | ```script 28 | python main.py --mode label_denoise --language refine_label/denoised_label.npz --refine_label refine_label/final_label.npz 29 | ``` 30 | 31 | ## Train the model 32 | 33 | 1. Resnet and VGGish features 34 | ```script 35 | python main.py --mode train_model --num_layers 6 --lr 8e-5 --refine_label refine_label/final_label.npz --save_model true --checkpoint LSLD.pt 36 | ``` 37 | 2. CLAP and CLIP features (Recommended) 38 | ```script 39 | python main.py --mode train_model --num_layers 4 --lr 2e-4 --refine_label refine_label/final_label.npz --save_model true --checkpoint LSLD.pt 40 | ``` 41 | 42 | ## Test the model 43 | * We put the pre-trained model in this [Link](https://drive.google.com/file/d/1GpRn_EXM9ompdpgVF3V-HlyBdTDttHGH/view?usp=drive_link) 44 | ```script 45 | python main.py --mode test_LSLD --checkpoint LSLD.pt 46 | ``` 47 | ## Citation 48 | ```script 49 | @article{fan2023revisit, 50 | title={Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective}, 51 | author={Fan, Yingying and Wu, Yu and Du, Bo and Lin, Yutian }, 52 | journal={arXiv preprint arXiv:2306.00595}, 53 | year={2023} 54 | } 55 | ``` 56 | 57 | 58 | 59 | 60 | -------------------------------------------------------------------------------- /data/AVVP_eval_visual.csv: -------------------------------------------------------------------------------- 1 | filename onset offset event_labels 2 | 4YdbENYcIyE_23_33 0 10 Baby_cry_infant_cry 3 | KSRjje7GH44_60_70 0 10 Blender 4 | McVcuryKUp4_160_170 0 2 Motorcycle 5 | McVcuryKUp4_160_170 6 8 Speech 6 | HK1i4YyF5WU_30_40 0 10 Motorcycle 7 | EWG-FzjkTr4_40_50 0 10 Frying_(food) 8 | GSovTky7XbU_120_130 0 10 Cello 9 | GSovTky7XbU_120_130 0 10 Violin_fiddle 10 | HKYc0AlZp_A_10_20 0 10 Dog 11 | AkAfFL5Q4QA_30_40 0 10 Acoustic_guitar 12 | LWcZGccvDpg_80_90 0 10 Motorcycle 13 | LWcZGccvDpg_80_90 0 1 Speech 14 | 6oJeeOZFzyY_20_30 0 10 Helicopter 15 | 53ZLWPGoQ8o_40_50 0 8 Clapping 16 | 53ZLWPGoQ8o_40_50 0 10 Acoustic_guitar 17 | AgZ7oCbWXhE_100_110 0 10 Motorcycle 18 | 9_jO5lSk-og_30_40 0 10 Violin_fiddle 19 | 9_jO5lSk-og_30_40 0 10 Dog 20 | ESkZHYcqs5g_0_10 0 10 Dog 21 | 6kKs7UKCUBA_70_80 0 10 Frying_(food) 22 | LQC5OxzWufM_20_30 0 10 Dog 23 | G7jl8y17HNo_30_40 0 10 Chicken_rooster 24 | NaSGRWCzZYM_0_10 0 7 Motorcycle 25 | NaSGRWCzZYM_0_10 8 10 Motorcycle 26 | 9vkibU5yBXw_10_20 0 10 Singing 27 | GZYRcRlFjLA_0_10 0 10 Dog 28 | CaC2xvdLC34_250_260 0 10 Violin_fiddle 29 | CaC2xvdLC34_250_260 0 10 Cello 30 | EwecTFF_wUs_80_90 0 10 Frying_(food) 31 | P7x4FV4lg_570_580 0 10 Frying_(food) 32 | P7x4FV4lg_570_580 3 6 Speech 33 | KBHjIrZuqTw_20_30 0 10 Acoustic_guitar 34 | KBHjIrZuqTw_20_30 1 6 Speech 35 | MRe0mjPslrc_10_20 0 10 Violin_fiddle 36 | MRe0mjPslrc_10_20 0 5 Cello 37 | 6tCRm2ZbFWI_0_10 0 10 Frying_(food) 38 | 8HqOjWyahzI_20_30 0 10 Fire_alarm 39 | CSWQ_HzQ_10_20 0 4 Speech 40 | FdKtli_dAaM_20_30 0 10 Dog 41 | FdKtli_dAaM_20_30 0 2 Speech 42 | 4HYZPiffsng_130_140 0 10 Singing 43 | MIzRWcJCpHg_130_140 0 10 Singing 44 | NQioJxQTs9I_60_70 0 10 Dog 45 | BugTqeLnqBY_80_90 3 9 Speech 46 | CNZjv4gN_KQ_0_10 0 10 Fire_alarm 47 | NjTazKop84Y_30_40 0 10 Violin_fiddle 48 | NjTazKop84Y_30_40 0 7 Speech 49 | 9bZhKjPrYDQ_20_30 0 10 Baby_laughter 50 | Okt_lzkMWWU_30_40 0 10 Cello 51 | Okt_lzkMWWU_30_40 0 10 Violin_fiddle 52 | 9esovZc8MlY_10_20 0 10 Motorcycle 53 | 0OD_03N7XTQ_250_260 0 10 Speech 54 | 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0 3 Singing 309 | G62jBqwUsac_90_100 4 8 Singing 310 | G62jBqwUsac_90_100 0 10 Acoustic_guitar 311 | 3QBBpzE3_Qk_90_100 0 10 Car 312 | 3QBBpzE3_Qk_90_100 9 10 Motorcycle 313 | 3QBBpzE3_Qk_90_100 1 2 Speech 314 | 3QBBpzE3_Qk_90_100 4 5 Speech 315 | P2cC4rFXr_4_30_40 0 10 Chainsaw 316 | CPOsok1yDeg_90_100 0 5 Helicopter 317 | 9hlb-6VC2zg_30_40 0 10 Car 318 | Hs7fnFd5tag_160_170 0 10 Cheering 319 | 2YMj5Li-_mU_140_150 0 10 Car 320 | M6AZo0Z0xBo_30_40 0 10 Cello 321 | M6AZo0Z0xBo_30_40 0 10 Violin_fiddle 322 | 6uQyki-4Q_c_0_10 0 10 Acoustic_guitar 323 | 6uQyki-4Q_c_0_10 5 10 Singing 324 | FSaIBGrJ9Jg_90_100 0 4 Chainsaw 325 | FSaIBGrJ9Jg_90_100 5 10 Chainsaw 326 | MTIfUXAtQcE_170_180 0 6 Helicopter 327 | MTIfUXAtQcE_170_180 8 10 Helicopter 328 | C6fYcT9_0Yg_100_110 0 10 Motorcycle 329 | C6fYcT9_0Yg_100_110 0 10 Car 330 | EZABDQrX-VU_380_390 0 10 Frying_(food) 331 | LfhdhtoK_dg_40_50 0 9 Speech 332 | LfhdhtoK_dg_40_50 6 9 Clapping 333 | 8k_E2GRTQXU_160_170 0 10 Cello 334 | 8k_E2GRTQXU_160_170 0 10 Violin_fiddle 335 | OuzXjZb_amo_140_150 0 10 Acoustic_guitar 336 | Hyegfva1pCA_14_24 0 10 Chicken_rooster 337 | 04TYhV8SKZ0_30_40 0 5 Singing 338 | 04TYhV8SKZ0_30_40 6 10 Singing 339 | 1AgD2StmjBo_30_40 0 10 Car 340 | Lp6JViuKWlo_20_30 0 4 Baby_cry_infant_cry 341 | Lp6JViuKWlo_20_30 6 7 Baby_cry_infant_cry 342 | Lp6JViuKWlo_20_30 9 10 Baby_cry_infant_cry 343 | CmU6Obv2tU8_110_120 0 10 Dog 344 | D1aU2qkXvT8_30_40 0 10 Violin_fiddle 345 | 9aNXDP2rv7o_220_230 0 10 Blender 346 | 6m9tybo1Lvo_380_390 0 3 Accordion 347 | GERse3o3Uuo_70_80 0 1 Singing 348 | DFfBjNlNn4w_140_150 0 2 Singing 349 | DFfBjNlNn4w_140_150 3 4 Speech 350 | DFfBjNlNn4w_140_150 6 7 Speech 351 | 9u43K-cj_Pk_90_100 0 10 Violin_fiddle 352 | 9u43K-cj_Pk_90_100 4 10 Cello 353 | EvHgP6eSPxo_10_20 0 10 Dog 354 | 0yW5XUGJsOU_8_18 0 8 Car 355 | 0yW5XUGJsOU_8_18 8 9 Speech 356 | MlnBzUzGhlA_10_20 0 10 Lawn_mower 357 | I6i5F6GT4wo_0_10 3 10 Baby_cry_infant_cry 358 | 9wrBXMEM9Zg_230_240 0 10 Lawn_mower 359 | 77Hsf1HCiyU_210_220 0 10 Cello 360 | 77Hsf1HCiyU_210_220 0 10 Violin_fiddle 361 | J2SFw1xdf8w_50_60 0 10 Accordion 362 | BVkRX4CLEpc_30_40 0 10 Car 363 | 4c4B-5YpkVc_370_380 0 10 Helicopter 364 | KmN2GrhTxXE_10_20 0 10 Motorcycle 365 | Abp44StqNzo_100_110 0 10 Vacuum_cleaner 366 | Abp44StqNzo_100_110 0 6 Speech 367 | 2uAcTbCSTOg_20_30 0 1 Basketball_bounce 368 | 2uAcTbCSTOg_20_30 3 5 Basketball_bounce 369 | 2uAcTbCSTOg_20_30 8 10 Basketball_bounce 370 | KcXWxITU5s0_16_26 0 6 Dog 371 | KzrmSD86sr0_520_530 0 10 Blender 372 | 7TZDBbCYZN0_70_80 4 5 Baby_laughter 373 | 7TZDBbCYZN0_70_80 7 10 Baby_laughter 374 | K9KdTtdCRWw_30_40 0 3 Telephone_bell_ringing 375 | K9KdTtdCRWw_30_40 1 3 Speech 376 | AyccjmQs19I_30_40 0 10 Violin_fiddle 377 | JX-yvRwRrEU_210_220 0 3 Speech 378 | JX-yvRwRrEU_210_220 0 10 Blender 379 | MRaYiK3K0Rc_40_50 0 10 Frying_(food) 380 | 40PKn0gnPJA_170_180 0 1 Singing 381 | 40PKn0gnPJA_170_180 5 6 Singing 382 | 40PKn0gnPJA_170_180 8 9 Singing 383 | 0eLC4aFPpng_30_40 0 10 Car 384 | 1CG8aPFUBOs_30_40 0 10 Car 385 | 1ewB56vAp7I_480_490 0 4 Vacuum_cleaner 386 | 1ewB56vAp7I_480_490 9 10 Vacuum_cleaner 387 | Ht5wjEzlh0U_30_40 3 8 Telephone_bell_ringing 388 | LCv-gA_A7Pk_30_40 0 10 Acoustic_guitar 389 | BXRksBkw2vw_30_40 0 10 Chicken_rooster 390 | 6EEk_o64UYA_90_100 0 10 Cello 391 | 6EEk_o64UYA_90_100 0 10 Violin_fiddle 392 | 6EEk_o64UYA_90_100 0 10 Acoustic_guitar 393 | 1P-cBqOVT24_10_20 0 10 Car 394 | CUJQd9h5WNE_10_20 0 10 Helicopter 395 | Os2-U4dwBs8_30_40 4 10 Cheering 396 | Os2-U4dwBs8_30_40 3 5 Basketball_bounce 397 | Cg2eujp6keI_30_40 8 10 Baby_cry_infant_cry 398 | Cg2eujp6keI_30_40 6 8 Speech 399 | 4gZQO_9-HPI_330_340 0 10 Frying_(food) 400 | LIFlDrWOq8I_60_70 0 10 Lawn_mower 401 | HHZFo5HpEv0_0_10 0 5 Basketball_bounce 402 | HHZFo5HpEv0_0_10 6 7 Basketball_bounce 403 | OoTe9A7L7GQ_80_90 0 6 Singing 404 | OoTe9A7L7GQ_80_90 0 2 Cello 405 | OoTe9A7L7GQ_80_90 0 10 Acoustic_guitar 406 | OoTe9A7L7GQ_80_90 0 10 Violin_fiddle 407 | AFVmMICLE8I_30_40 0 10 Acoustic_guitar 408 | HKUHuK9_Jto_60_70 0 10 Singing 409 | FLEC3gA30Pw_410_420 9 10 Singing 410 | FLEC3gA30Pw_410_420 7 10 Acoustic_guitar 411 | FbN2-I2CBbU_30_40 0 1 Dog 412 | FbN2-I2CBbU_30_40 3 5 Dog 413 | FbN2-I2CBbU_30_40 8 9 Dog 414 | FbN2-I2CBbU_30_40 0 2 Speech 415 | FbN2-I2CBbU_30_40 4 10 Speech 416 | GXIrtKSFXaM_30_40 0 10 Accordion 417 | 4IVeDG3meqY_140_150 0 10 Lawn_mower 418 | FsTXNxD8M2A_0_10 0 10 Dog 419 | MQWKt3_NVvM_70_80 0 10 Dog 420 | 104Ghhu6mks_21_31 0 10 Car 421 | Knh6TSkrpU0_2_12 5 7 Speech 422 | Knh6TSkrpU0_2_12 0 10 Dog 423 | 0vlayD4ueuA_0_10 4 10 Chainsaw 424 | 9nVkiuTFbBQ_110_120 0 10 Acoustic_guitar 425 | 9nVkiuTFbBQ_110_120 0 10 Banjo 426 | 9nVkiuTFbBQ_110_120 2 10 Singing 427 | LqSxIzqYsfY_160_170 0 10 Cello 428 | LqSxIzqYsfY_160_170 0 10 Violin_fiddle 429 | JDewbf6JixU_440_450 0 10 Acoustic_guitar 430 | JDewbf6JixU_440_450 1 5 Singing 431 | JDewbf6JixU_440_450 7 10 Singing 432 | BIhNX3EiXBk_140_150 0 10 Dog 433 | J73WaU8XiH4_30_40 0 10 Violin_fiddle 434 | IYjYzJXI-Oo_90_100 0 4 Speech 435 | IYjYzJXI-Oo_90_100 4 10 Singing 436 | IYjYzJXI-Oo_90_100 6 10 Acoustic_guitar 437 | BJZ5U4bXsd8_7_17 0 9 Dog 438 | 8oHpRkN839s_30_40 0 3 Speech 439 | 8oHpRkN839s_30_40 4 6 Speech 440 | 8oHpRkN839s_30_40 7 9 Speech 441 | Bv9bfnPW_8c_30_40 0 10 Baby_cry_infant_cry 442 | CZp7HDm9or0_30_40 0 2 Helicopter 443 | CZp7HDm9or0_30_40 3 7 Helicopter 444 | IF_wzyRY0K8_30_40 0 10 Helicopter 445 | 1eZeaT7IfE4_4_14 0 10 Car 446 | 0kNHMn3a6BM_30_40 0 10 Car 447 | 9aWNjRqjmDo_160_170 0 3 Blender 448 | 9aWNjRqjmDo_160_170 5 6 Blender 449 | 9aWNjRqjmDo_160_170 6 7 Speech 450 | 9aWNjRqjmDo_160_170 8 10 Speech 451 | ARWLYqQDb6w_440_450 0 3 Speech 452 | ARWLYqQDb6w_440_450 5 7 Speech 453 | ARWLYqQDb6w_440_450 8 10 Speech 454 | ARWLYqQDb6w_440_450 0 10 Blender 455 | 83Txe5EAijU_260_270 0 6 Speech 456 | 83Txe5EAijU_260_270 0 10 Blender 457 | 37hqUFpvl6A_30_40 0 3 Baby_laughter 458 | 37hqUFpvl6A_30_40 6 10 Baby_laughter 459 | LAXWSmoMfNw_10_20 0 10 Dog 460 | ExcQZFswFks_50_60 0 10 Dog 461 | HBBZzLNKgPg_200_210 0 10 Violin_fiddle 462 | HBBZzLNKgPg_200_210 2 4 Speech 463 | HBBZzLNKgPg_200_210 7 10 Speech 464 | F0Omj8D7rOg_0_10 1 10 Vacuum_cleaner 465 | HQcefyCi7bM_170_180 0 10 Frying_(food) 466 | BIoHN1ABoQE_90_100 0 6 Singing 467 | BIoHN1ABoQE_90_100 8 10 Singing 468 | LWlJFSROVXM_3_13 0 10 Chicken_rooster 469 | DXlefGbw_0E_360_370 2 8 Singing 470 | 69wXDaayFKM_316_326 0 10 Clapping 471 | Jpg9gXXGO8o_30_40 0 10 Motorcycle 472 | KgvsnA-mGRc_30_40 0 10 Motorcycle 473 | 19kcipjzOGI_7_17 0 10 Baby_cry_infant_cry 474 | Fh2-vVvxbnI_90_100 0 10 Acoustic_guitar 475 | Fh2-vVvxbnI_90_100 0 2 Speech 476 | Fh2-vVvxbnI_90_100 4 10 Speech 477 | KoBKt9OwUDA_0_10 0 10 Speech 478 | KyZTzL7dzdg_30_40 0 10 Violin_fiddle 479 | HlrhAru1e44_30_40 0 10 Violin_fiddle 480 | OZIvnePrY8A_80_90 0 8 Blender 481 | OZIvnePrY8A_80_90 8 10 Speech 482 | CDqI8ZkG7jo_0_10 0 10 Chicken_rooster 483 | JVgisBJ_Hss_30_40 0 10 Violin_fiddle 484 | JVgisBJ_Hss_30_40 4 10 Speech 485 | ETn6CUxtQeE_40_50 0 7 Speech 486 | 4dG9F_XdFR4_200_210 0 10 Telephone_bell_ringing 487 | 1XFai_UlKrY_20_30 0 10 Car 488 | ApkOh15yKcg_80_90 0 10 Dog 489 | JVnyQw8ORJQ_10_20 0 10 Baby_laughter 490 | KeVUagDleIg_30_40 0 10 Cat 491 | KeVUagDleIg_30_40 5 10 Speech 492 | E7FXBV0vbg8_90_100 0 10 Banjo 493 | E7FXBV0vbg8_90_100 0 10 Cello 494 | E7FXBV0vbg8_90_100 0 10 Acoustic_guitar 495 | 9agE8s-KegQ_60_70 2 4 Speech 496 | 9agE8s-KegQ_60_70 6 7 Speech 497 | 9agE8s-KegQ_60_70 3 6 Dog 498 | 9agE8s-KegQ_60_70 7 10 Dog 499 | Ib7cg0gudCs_170_180 0 10 Vacuum_cleaner 500 | AlKo6BKs6ec_190_200 0 10 Chicken_rooster 501 | 30I48iihzy8_30_40 0 10 Chicken_rooster 502 | ArfpBVgOf3o_300_310 1 10 Fire_alarm 503 | EXfxW_Vfn1s_110_120 0 10 Speech 504 | EXfxW_Vfn1s_110_120 2 3 Clapping 505 | J87ZTJnSuhw_20_30 0 1 Chicken_rooster 506 | J87ZTJnSuhw_20_30 2 10 Chicken_rooster 507 | MyaBGqF5RgQ_10_20 0 2 Vacuum_cleaner 508 | MyaBGqF5RgQ_10_20 3 10 Vacuum_cleaner 509 | 2syCCpacVu0_30_40 0 10 Cello 510 | 2syCCpacVu0_30_40 0 10 Violin_fiddle 511 | Nkv47Gmn66Q_40_50 0 10 Cat 512 | ERG8KKpqpWQ_20_30 0 10 Singing 513 | ERG8KKpqpWQ_20_30 0 10 Acoustic_guitar 514 | CalrtHAXuqs_20_30 0 10 Dog 515 | 5iHTULmNp9E_210_220 0 10 Singing 516 | 5iHTULmNp9E_210_220 0 10 Cheering 517 | MFZa7e1Xkog_360_370 0 10 Frying_(food) 518 | -2CdXt0-f0I_30_40 0 10 Car 519 | C60iaPPFLBw_30_40 0 10 Lawn_mower 520 | 9rgmk7a1_7E_30_40 0 3 Speech 521 | 9rgmk7a1_7E_30_40 2 10 Cheering 522 | OujGx4hYJog_0_10 0 10 Clapping 523 | 3gf7VphLu4A_30_40 0 10 Acoustic_guitar 524 | 3gf7VphLu4A_30_40 0 10 Violin_fiddle 525 | 3gf7VphLu4A_30_40 9 10 Singing 526 | 9CEVf9vuRMg_90_100 0 10 Accordion 527 | 2_AFIyj9N_I_120_130 6 10 Singing 528 | CF7WuVvydVc_0_10 0 10 Accordion 529 | A8B7Vpt3HOs_30_40 0 8 Violin_fiddle 530 | A8B7Vpt3HOs_30_40 9 10 Violin_fiddle 531 | LS1OwvItlgM_210_220 0 8 Chicken_rooster 532 | LS1OwvItlgM_210_220 5 6 Speech 533 | C_0rtVrHxyM_50_60 0 6 Cello 534 | C_0rtVrHxyM_50_60 0 10 Violin_fiddle 535 | N70uvJf6Fs4_30_40 3 8 Violin_fiddle 536 | N70uvJf6Fs4_30_40 9 10 Violin_fiddle 537 | Fr_9CvC8Xxo_30_40 0 10 Baby_cry_infant_cry 538 | 2eCf9vVEnX8_19_29 0 6 Car 539 | E62kiwwhsu8_30_40 0 10 Cello 540 | E62kiwwhsu8_30_40 0 10 Acoustic_guitar 541 | 8ncJ1dIf33I_90_100 0 10 Motorcycle 542 | 8ncJ1dIf33I_90_100 7 10 Car 543 | 7OxK7UvZ5S8_150_160 0 2 Accordion 544 | Ir6xFmmEfEA_170_180 0 10 Dog 545 | D93JcF6eH_w_40_50 0 10 Chicken_rooster 546 | Juv7x384pqI_27_37 0 10 Motorcycle 547 | EqYPDn23Rjw_30_40 0 10 Accordion 548 | 5iGJ3W1QPKw_190_200 0 10 Chainsaw 549 | 81WXDWpgzPA_0_10 0 10 Lawn_mower 550 | 45wAIX6_eCo_100_110 0 2 Baby_laughter 551 | 45wAIX6_eCo_100_110 3 4 Baby_laughter 552 | 45wAIX6_eCo_100_110 5 8 Baby_laughter 553 | Fk8y6-wbBUk_20_30 0 10 Vacuum_cleaner 554 | C6G6Clcqhvs_170_180 0 10 Blender 555 | NQ5G3EpBpIY_30_40 0 10 Dog 556 | NQ5G3EpBpIY_30_40 2 4 Speech 557 | NQ5G3EpBpIY_30_40 6 8 Speech 558 | 6ocUrRBIuls_340_350 0 10 Vacuum_cleaner 559 | 2pUldlC4Pwc_30_40 0 10 Car 560 | 2pUldlC4Pwc_30_40 6 10 Speech 561 | 2pUldlC4Pwc_30_40 0 1 Basketball_bounce 562 | 2pUldlC4Pwc_30_40 6 7 Basketball_bounce 563 | FcJApggTD4A_210_220 0 10 Cheering 564 | FcJApggTD4A_210_220 0 10 Clapping 565 | IgN7v8nWmx8_30_40 0 10 Violin_fiddle 566 | IgN7v8nWmx8_30_40 0 1 Speech 567 | IgN7v8nWmx8_30_40 5 9 Speech 568 | CqPZuJHWm3g_30_40 0 10 Chicken_rooster 569 | 4iJQqql5fNo_30_40 0 10 Violin_fiddle 570 | 0iEtuM3NEKw_30_40 0 10 Car 571 | JfZEqeLZqWk_30_40 1 6 Baby_cry_infant_cry 572 | 9mKakXiHNA8_0_10 0 10 Dog 573 | 8e6ha9wOsl0_30_40 0 10 Vacuum_cleaner 574 | 9vPMaY9f540_40_50 0 10 Chainsaw 575 | 6YuCa3NAINw_130_140 0 10 Frying_(food) 576 | EmTtADpTbF4_40_50 0 2 Clapping 577 | EmTtADpTbF4_40_50 2 3 Speech 578 | EmTtADpTbF4_40_50 5 9 Speech 579 | EmTtADpTbF4_40_50 9 10 Clapping 580 | 3C1EACXWbnM_140_150 0 10 Chainsaw 581 | IfCB-RoiEGI_30_40 0 3 Speech 582 | IfCB-RoiEGI_30_40 0 10 Violin_fiddle 583 | IfCB-RoiEGI_30_40 0 10 Acoustic_guitar 584 | O94UDJiPfX8_310_320 6 8 Speech 585 | 10lI3fjFrBU_30_40 0 10 Car 586 | 8L6AX8xepUI_19_29 0 8 Baby_cry_infant_cry 587 | 8L6AX8xepUI_19_29 9 10 Baby_cry_infant_cry 588 | MfWiB4-reII_30_40 0 10 Violin_fiddle 589 | MfWiB4-reII_30_40 0 10 Cello 590 | IbEqfqTarSQ_210_220 0 10 Vacuum_cleaner 591 | Ar7FCio0__8_3_13 0 10 Chicken_rooster 592 | 4qcrawQOVTM_260_270 0 3 Blender 593 | CljryupR2zA_140_150 0 10 Singing 594 | Nmqq83EfK8U_80_90 0 10 Dog 595 | GhXg04KU9Ws_22_32 0 10 Chainsaw 596 | GhXg04KU9Ws_22_32 9 10 Speech 597 | KwksDbd45Jc_220_230 0 8 Speech 598 | KwksDbd45Jc_220_230 9 10 Speech 599 | KwksDbd45Jc_220_230 6 8 Basketball_bounce 600 | E2dlH4BhIho_90_100 0 10 Cello 601 | E2dlH4BhIho_90_100 0 10 Violin_fiddle 602 | E2dlH4BhIho_90_100 0 10 Acoustic_guitar 603 | DcCEGqcN2Rs_10_20 0 10 Acoustic_guitar 604 | DPpp6t1d2Rk_90_100 0 10 Cello 605 | DPpp6t1d2Rk_90_100 0 10 Violin_fiddle 606 | ExjkmiWArck_380_390 0 10 Frying_(food) 607 | O4r45CKNnOc_10_20 0 3 Dog 608 | O4r45CKNnOc_10_20 7 10 Dog 609 | F4HxYGZbVOA_7_17 0 10 Chicken_rooster 610 | EevMPTtfWv8_30_40 0 10 Violin_fiddle 611 | BRqkaSCAh3E_30_40 0 10 Lawn_mower 612 | BRqkaSCAh3E_30_40 9 10 Speech 613 | 2t-wNPg6_hw_110_120 0 10 Cello 614 | 2t-wNPg6_hw_110_120 0 10 Violin_fiddle 615 | K2VYvpLh-CI_130_140 0 10 Cat 616 | ANN4OCM_LAU_60_70 0 10 Cat 617 | GCnRAAmkmTw_30_40 0 10 Cello 618 | GCnRAAmkmTw_30_40 0 10 Violin_fiddle 619 | 1-VMTJRpjbE_150_160 2 10 Fire_alarm 620 | VMTJRpjbE_150_160 1 3 Speech 621 | VMTJRpjbE_150_160 3 10 Basketball_bounce 622 | Jmd4nOKYpsw_370_380 0 4 Frying_(food) 623 | DiN7YWCEGzs_110_120 0 6 Motorcycle 624 | DiN7YWCEGzs_110_120 0 10 Car 625 | FU1_O_GJDko_410_420 0 10 Chainsaw 626 | 2M4NSG-8NVw_30_40 0 10 Accordion 627 | 9yZV_ULTEBc_30_40 2 4 Violin_fiddle 628 | 9yZV_ULTEBc_30_40 5 9 Violin_fiddle 629 | 0YErPHsAxWM_80_90 0 10 Car 630 | KY_EJ9wCJ1E_320_330 0 2 Speech 631 | 4HBpU0TRpYg_30_40 0 10 Motorcycle 632 | KKghPv944Ks_30_40 0 10 Vacuum_cleaner 633 | HnAoOz2WKAQ_8_18 0 10 Helicopter 634 | K7HLZeuyWjo_190_200 0 10 Banjo 635 | A4fQnv9jHU8_14_24 0 9 Violin_fiddle 636 | CQ8JIgw2Mo0_30_40 0 10 Telephone_bell_ringing 637 | 3erZlRYYru8_140_150 0 3 Singing 638 | OK0pHsgHgDU_140_150 0 10 Singing 639 | KCckyE6pu0Q_140_150 0 10 Violin_fiddle 640 | KCckyE6pu0Q_140_150 0 8 Acoustic_guitar 641 | 2QCkooK5ZuY_30_40 0 10 Car 642 | 2QCkooK5ZuY_30_40 1 6 Speech 643 | 6GfKGwRSRIw_30_40 0 10 Vacuum_cleaner 644 | 2o7p139v9n4_20_30 0 10 Car 645 | 0sBkJR5Jads_8_18 0 10 Car 646 | OdOIHGWEsqg_30_40 0 10 Chainsaw 647 | D0Ex9W0sEOI_160_170 0 10 Acoustic_guitar 648 | D0Ex9W0sEOI_160_170 0 10 Violin_fiddle 649 | D0Ex9W0sEOI_160_170 2 8 Singing 650 | 0aVst7GNuVM_30_40 0 10 Car 651 | KdlvYugCXvo_130_140 0 10 Helicopter 652 | Ok7Cyiz1lr8_190_200 2 10 Blender 653 | Ok7Cyiz1lr8_190_200 9 10 Speech 654 | 5iF6LJ7_N2Q_400_410 0 10 Violin_fiddle 655 | 5iF6LJ7_N2Q_400_410 0 10 Cello 656 | 5iF6LJ7_N2Q_400_410 7 10 Clapping 657 | 8JP7ReHkkus_100_110 0 10 Vacuum_cleaner 658 | NT3BpX75ylU_30_40 0 10 Violin_fiddle 659 | G-c_nrKUUIk_30_40 9 10 Helicopter 660 | G-c_nrKUUIk_30_40 2 10 Car 661 | GubjpoIeZTc_180_190 0 10 Frying_(food) 662 | GubjpoIeZTc_180_190 2 3 Speech 663 | GubjpoIeZTc_180_190 7 9 Speech 664 | AHyGaSlJ7UE_10_20 0 1 Violin_fiddle 665 | AHyGaSlJ7UE_10_20 0 1 Speech 666 | DryXFqmkAn0_0_10 1 7 Clapping 667 | OW9bURekJ8s_20_30 0 10 Singing 668 | OW9bURekJ8s_20_30 0 10 Acoustic_guitar 669 | 0mMAgkJc9DM_60_70 0 6 Singing 670 | JBPezyDs1-k_24_34 0 10 Chainsaw 671 | KCOcjOPIxJM_10_20 0 10 Chicken_rooster 672 | KCOcjOPIxJM_10_20 0 10 Cat 673 | KCOcjOPIxJM_10_20 0 2 Speech 674 | KCOcjOPIxJM_10_20 3 4 Speech 675 | CcHkqs_6hPk_30_40 0 10 Speech 676 | NkIhwefp87o_50_60 0 10 Vacuum_cleaner 677 | AXrILCCk2Dw_130_140 0 10 Violin_fiddle 678 | AXrILCCk2Dw_130_140 0 10 Cello 679 | AdW3WsQy7QY_170_180 0 10 Fire_alarm 680 | FfLu0skvyR4_170_180 0 10 Helicopter 681 | Ip3SFk3NsfE_150_160 0 10 Chicken_rooster 682 | H7CSAnSPS28_18_28 0 10 Chicken_rooster 683 | 9TZBF1tZ1RU_90_100 0 10 Chicken_rooster 684 | 0x4ozoZB_2M_0_10 0 10 Chicken_rooster 685 | P4X2Gnt8_JE_30_40 0 10 Helicopter 686 | DKEwkMDiJSI_20_30 0 10 Accordion 687 | DKEwkMDiJSI_20_30 0 10 Acoustic_guitar 688 | DKEwkMDiJSI_20_30 1 10 Singing 689 | 9rYyCItieAU_140_150 0 10 Dog 690 | Hc1zpmHBVn0_370_380 0 10 Motorcycle 691 | Ltx0lEqqoac_80_90 1 3 Basketball_bounce 692 | Ltx0lEqqoac_80_90 5 10 Basketball_bounce 693 | 38lBhABkGbA_50_60 0 10 Clapping 694 | 38lBhABkGbA_50_60 0 10 Cheering 695 | N_x3pPx8TWk_470_480 0 10 Singing 696 | -8J-J79jkIE_30_40 0 10 Car 697 | 6x5UQq781zQ_0_10 0 10 Accordion 698 | 19lu7gR1je0_180_190 0 10 Car 699 | CUrk6x1eDFk_18_28 0 10 Chicken_rooster 700 | BX_0KPEn9iE_30_40 0 10 Cello 701 | BX_0KPEn9iE_30_40 0 10 Violin_fiddle 702 | 0dgKhlejMJ8_350_360 0 10 Cello 703 | 0dgKhlejMJ8_350_360 0 10 Violin_fiddle 704 | 0Zn0yN14eh8_230_240 5 9 Chainsaw 705 | BjOWvamMDTw_190_200 0 10 Motorcycle 706 | BjOWvamMDTw_190_200 3 5 Speech 707 | LZGMn_8Ky-U_220_230 0 10 Acoustic_guitar 708 | LZGMn_8Ky-U_220_230 0 3 Speech 709 | LZGMn_8Ky-U_220_230 4 6 Speech 710 | LZGMn_8Ky-U_220_230 8 10 Speech 711 | LjBs2e_sW4E_160_170 1 8 Lawn_mower 712 | 82T_W4uINdQ_130_140 0 10 Cello 713 | BNiU6AKQTCs_140_150 0 10 Motorcycle 714 | D-DBnNlXTIc_20_30 0 10 Dog 715 | Fnq5BrdO0tc_280_290 0 10 Motorcycle 716 | H8wvllC_LOY_0_10 0 10 Cat 717 | KxhN4Y6eMRg_390_400 0 1 Speech 718 | 4Q37R8tiQUo_370_380 0 10 Blender 719 | AtYmhWV2bAw_30_40 1 4 Helicopter 720 | NryAmlnxqB0_10_20 0 10 Banjo 721 | NryAmlnxqB0_10_20 0 10 Acoustic_guitar 722 | NryAmlnxqB0_10_20 9 10 Singing 723 | B5vchK8zBNY_100_110 0 10 Dog 724 | 2YJMfQdcVhY_180_190 0 2 Fire_alarm 725 | 2YJMfQdcVhY_180_190 4 8 Cat 726 | KGwKORR6L7w_30_40 3 10 Baby_cry_infant_cry 727 | E6AOfcgn3hw_220_230 0 10 Violin_fiddle 728 | EhhFEWf7efU_130_140 0 7 Car 729 | EhhFEWf7efU_130_140 3 7 Motorcycle 730 | I7fdphE2vRM_200_210 0 10 Motorcycle 731 | ESfOqi5mHtc_240_250 0 4 Speech 732 | ESfOqi5mHtc_240_250 4 10 Blender 733 | ESfOqi5mHtc_240_250 8 10 Speech 734 | FP07wCKSwbE_400_410 0 10 Accordion 735 | Hp4nx234ZsI_260_270 0 7 Singing 736 | Hp4nx234ZsI_260_270 3 7 Acoustic_guitar 737 | 2D2rAWKavS0_29_39 0 10 Helicopter 738 | B4Qzd6WRiZk_120_130 0 10 Banjo 739 | B4Qzd6WRiZk_120_130 1 10 Singing 740 | Gi1iUYh6ZUo_0_10 0 5 Speech 741 | Gi1iUYh6ZUo_0_10 7 10 Basketball_bounce 742 | 9DfDmEBAcK0_20_30 0 10 Vacuum_cleaner 743 | 0EcfL54lGUA_30_40 0 8 Car 744 | 0EcfL54lGUA_30_40 9 10 Clapping 745 | 0EcfL54lGUA_30_40 7 10 Cheering 746 | MUmLS_Y_pmY_0_10 0 10 Dog 747 | LFebeVofHyg_30_40 0 10 Clapping 748 | KEUQxR12Cfo_30_40 0 10 Cello 749 | KEUQxR12Cfo_30_40 0 10 Violin_fiddle 750 | KEUQxR12Cfo_30_40 0 10 Acoustic_guitar 751 | Hir4RLCwKg4_0_10 0 5 Speech 752 | Hir4RLCwKg4_0_10 6 7 Speech 753 | 44ieR06LA9s_220_230 2 8 Singing 754 | CNnEqypUvSQ_170_180 0 4 Frying_(food) 755 | 1yoC00ssaXo_10_20 8 10 Chicken_rooster 756 | 10e2PY0WjPY_30_40 0 10 Car 757 | MdI_Wq_eoRU_220_230 0 10 Helicopter 758 | C-4Ac8IQMf0_30_40 0 10 Cello 759 | C-4Ac8IQMf0_30_40 0 10 Violin_fiddle 760 | 4YevHVmj_Pw_20_30 0 8 Basketball_bounce 761 | 4YevHVmj_Pw_20_30 8 10 Cheering 762 | 4YevHVmj_Pw_20_30 8 10 Clapping 763 | IPL838cX_FI_0_10 6 10 Cheering 764 | E1ep57TU23A_0_10 0 8 Speech 765 | E1ep57TU23A_0_10 6 8 Clapping 766 | E1ep57TU23A_0_10 8 10 Singing 767 | HZ_iK9BlTrA_30_40 0 10 Violin_fiddle 768 | GM9ooYeYcY0_90_100 0 10 Dog 769 | N7FraoLwBiw_30_40 0 10 Cat 770 | 2ostuog9wxQ_30_40 1 9 Cheering 771 | 2ostuog9wxQ_30_40 1 8 Clapping 772 | HtMc8x6fmIM_70_80 1 10 Chicken_rooster 773 | 5PXHXL89Kac_0_10 0 10 Vacuum_cleaner 774 | NkHc5KOqJRg_20_30 0 10 Frying_(food) 775 | 0DvICv9rCkM_70_80 0 10 Vacuum_cleaner 776 | JGJe3zySkFU_10_20 0 10 Acoustic_guitar 777 | JGJe3zySkFU_10_20 4 5 Speech 778 | JGJe3zySkFU_10_20 5 10 Singing 779 | M8hUgx2y7qk_20_30 0 10 Dog 780 | M8hUgx2y7qk_20_30 0 10 Vacuum_cleaner 781 | 2U6aYsjc1UM_130_140 0 10 Blender 782 | 2U6aYsjc1UM_130_140 0 7 Speech 783 | 2U6aYsjc1UM_130_140 9 10 Speech 784 | GyOP7DP4wNU_0_10 0 6 Dog 785 | GyOP7DP4wNU_0_10 7 10 Dog 786 | -1HZWgFylMQ_590_600 0 8 Car 787 | 9skVErB1xYc_200_210 0 1 Basketball_bounce 788 | 9skVErB1xYc_200_210 2 4 Basketball_bounce 789 | 9skVErB1xYc_200_210 8 10 Basketball_bounce 790 | 9skVErB1xYc_200_210 3 10 Cheering 791 | 9skVErB1xYc_200_210 3 10 Clapping 792 | 2faB83bZ0B4_80_90 3 7 Singing 793 | 2faB83bZ0B4_80_90 8 10 Singing 794 | GvVdunhxlp4_80_90 0 10 Accordion 795 | Iui-6VAc1Lk_80_90 0 10 Singing 796 | Iui-6VAc1Lk_80_90 5 7 Cheering 797 | Iui-6VAc1Lk_80_90 9 10 Cheering 798 | K4dSVn0RLGM_20_30 0 10 Chainsaw 799 | DOjo6_9WxCo_30_40 0 10 Vacuum_cleaner 800 | DOjo6_9WxCo_30_40 0 1 Speech 801 | DOjo6_9WxCo_30_40 2 3 Speech 802 | FzFRjoK--R0_30_40 0 10 Motorcycle 803 | MFaRhAq2JLw_10_20 0 10 Baby_cry_infant_cry 804 | MYhKZftZBOs_570_580 0 10 Cello 805 | MYhKZftZBOs_570_580 0 10 Violin_fiddle 806 | OiIaJb68Haw_50_60 0 10 Acoustic_guitar 807 | OiIaJb68Haw_50_60 9 10 Banjo 808 | 187cVfWpf6Q_100_110 0 10 Helicopter 809 | BNNXdQqlTos_30_40 0 10 Cello 810 | OMUTf4IC8ME_240_250 0 10 Dog 811 | FX6bTMXronQ_30_40 0 10 Violin_fiddle 812 | JquimytXI2U_160_170 0 10 Acoustic_guitar 813 | JquimytXI2U_160_170 0 7 Singing 814 | GQJ3-6ZBsfg_200_210 2 3 Basketball_bounce 815 | GQJ3-6ZBsfg_200_210 7 8 Basketball_bounce 816 | MChLOVodM5I_30_40 0 10 Dog 817 | 2WjjywPOwuE_10_20 0 10 Basketball_bounce 818 | KCO8lQDHBJg_30_40 0 10 Baby_cry_infant_cry 819 | Ak8WWYhJgJg_560_570 0 7 Motorcycle 820 | NrCNo4V7RVM_30_40 0 10 Lawn_mower 821 | JC09Z7ExipY_200_210 0 10 Acoustic_guitar 822 | JC09Z7ExipY_200_210 0 10 Speech 823 | DxvGKv2L6-8_100_110 0 10 Helicopter 824 | MeqqDSM5cPs_190_200 0 10 Helicopter 825 | CUKhEA5uKcA_180_190 0 10 Motorcycle 826 | LJPBzpoEJtw_30_40 0 10 Motorcycle 827 | 5GFWog3rkOo_190_200 1 10 Fire_alarm 828 | JBqeIeNcy2o_30_40 0 10 Baby_cry_infant_cry 829 | Gx1wfTlFui8_0_10 0 10 Dog 830 | I8SDFfuMux8_30_40 0 10 Helicopter 831 | CBw20AYBM80_40_50 0 7 Chainsaw 832 | 8MMDd9rzl8o_20_30 0 10 Helicopter 833 | 8MMDd9rzl8o_20_30 0 10 Car 834 | Cd83_t4iAgc_450_460 0 10 Chicken_rooster 835 | 3_MU0ugzqKI_16_26 0 6 Motorcycle 836 | DYq0gklkL0I_110_120 0 10 Vacuum_cleaner 837 | OYAjIJa6FlM_60_70 0 10 Dog 838 | 2kdeC1hA1hc_26_36 0 10 Chicken_rooster 839 | FRz7ssK6R6M_30_40 2 6 Basketball_bounce 840 | FRz7ssK6R6M_30_40 9 10 Basketball_bounce 841 | DG89TFpzMmg_20_30 0 10 Vacuum_cleaner 842 | CKQECxflk-o_220_230 0 10 Frying_(food) 843 | BMmI8Z-L_iY_80_90 0 9 Dog 844 | P6MHkI3K3PI_250_260 0 10 Blender 845 | O7sBZWqwHig_30_40 7 10 Violin_fiddle 846 | GJaybsizzm4_30_40 0 10 Cat 847 | 3JYZ7Ge0ETE_27_37 0 6 Car 848 | 5zLQNFQ2cFI_220_230 0 3 Singing 849 | 5zLQNFQ2cFI_220_230 4 7 Singing 850 | 5zLQNFQ2cFI_220_230 8 10 Singing 851 | 5zLQNFQ2cFI_220_230 0 10 Banjo 852 | 5zLQNFQ2cFI_220_230 0 10 Cello 853 | 5zLQNFQ2cFI_220_230 0 10 Acoustic_guitar 854 | OzCzfRutK8A_10_20 0 10 Dog 855 | ADWJi2_29s8_10_20 0 10 Blender 856 | Nuwo-hdr__k_10_20 0 10 Helicopter 857 | 0wQpnBSQ4fY_350_360 0 5 Frying_(food) 858 | JcunMsOU1g8_10_20 4 10 Chicken_rooster 859 | JcunMsOU1g8_10_20 0 6 Car 860 | JcunMsOU1g8_10_20 0 7 Motorcycle 861 | Di13sZqVF4A_480_490 7 10 Singing 862 | 5zLblkp2yOQ_50_60 2 3 Basketball_bounce 863 | 5zLblkp2yOQ_50_60 4 7 Basketball_bounce 864 | 7yMXFUS0Vuo_6_16 0 10 Vacuum_cleaner 865 | JzgRjsuSkao_10_20 0 10 Dog 866 | D_p1yb7iJ6g_220_230 0 2 Speech 867 | D_p1yb7iJ6g_220_230 2 10 Singing 868 | BuQ4ojGRBSw_0_10 0 10 Dog 869 | C4WOpcGQfqU_50_60 0 10 Violin_fiddle 870 | A4gZxP3kJBE_100_110 0 8 Singing 871 | 9j9AUuseA2w_20_30 0 10 Dog 872 | 0g-L2iF5y9k_140_150 0 10 Acoustic_guitar 873 | CBJX4okej6c_20_30 0 10 Dog 874 | CC0gtb7i0hU_40_50 0 10 Acoustic_guitar 875 | C-uNumeNFu4_30_40 0 10 Chainsaw 876 | 2j2c4g39q14_60_70 0 6 Speech 877 | 2j2c4g39q14_60_70 7 10 Speech 878 | ECAkq_er0Qs_200_210 0 10 Cello 879 | ECAkq_er0Qs_200_210 0 10 Violin_fiddle 880 | JgsbmMljkfU_40_50 0 10 Chicken_rooster 881 | CSl0919Ec8g_10_20 0 10 Acoustic_guitar 882 | CSl0919Ec8g_10_20 0 3 Speech 883 | CSl0919Ec8g_10_20 5 6 Speech 884 | CSl0919Ec8g_10_20 7 8 Speech 885 | CSl0919Ec8g_10_20 9 10 Speech 886 | F2ID7V1BQrw_70_80 0 2 Dog 887 | F2ID7V1BQrw_70_80 5 10 Dog 888 | F2ID7V1BQrw_70_80 3 6 Speech 889 | F2ID7V1BQrw_70_80 9 10 Speech 890 | Ba_VHuQu4ec_50_60 0 10 Motorcycle 891 | Ba_VHuQu4ec_50_60 9 10 Speech 892 | C61p3UzHJlc_60_70 0 10 Frying_(food) 893 | 6GGL8uDytH8_70_80 6 10 Basketball_bounce 894 | 6D-xUCN0iHA_40_50 0 10 Clapping 895 | 6D-xUCN0iHA_40_50 0 10 Cheering 896 | 4IXRJOyWD1c_190_200 2 9 Singing 897 | 4IXRJOyWD1c_190_200 0 10 Cello 898 | HLqE4iEyOrU_430_440 0 4 Dog 899 | 5KPr4Na_STc_30_40 0 10 Lawn_mower 900 | 9jin237e_AU_280_290 0 10 Accordion 901 | 9jin237e_AU_280_290 2 10 Acoustic_guitar 902 | NJQPNMG7dGw_30_40 0 10 Helicopter 903 | AbuQw1DeRnQ_30_40 0 10 Lawn_mower 904 | 7mg1TKMPh-c_20_30 0 10 Cello 905 | 5Ewue2D1aeo_80_90 0 10 Cello 906 | 5Ewue2D1aeo_80_90 0 10 Violin_fiddle 907 | 21-5dmhWaS0_1_11 0 10 Telephone_bell_ringing 908 | 0RFa3yJRuDg_80_90 0 10 Cheering 909 | 5OEgBmdTyJE_40_50 0 10 Chicken_rooster 910 | -0A9sun15YA_110_120 0 10 Car 911 | ERGfpSkxEv0_160_170 1 6 Basketball_bounce 912 | CyHIbBmPQD0_30_40 6 10 Violin_fiddle 913 | O_P92jTlmg8_0_10 0 10 Dog 914 | JNxMBpxAor4_10_20 6 10 Violin_fiddle 915 | JNxMBpxAor4_10_20 7 10 Speech 916 | I-yer--Q2jU_28_38 0 10 Motorcycle 917 | 2Ntn4KCnUqc_100_110 0 10 Singing 918 | HPgh02VwZAI_17_27 0 10 Chicken_rooster 919 | FgEEN3Fh68Y_30_40 0 10 Dog 920 | Jf0uMVmb6fU_10_20 0 10 Acoustic_guitar 921 | Jf0uMVmb6fU_10_20 6 10 Singing 922 | 04I1mfPeAng_30_40 0 10 Car 923 | AFfPFQi8YLQ_30_40 0 6 Cello 924 | AFfPFQi8YLQ_30_40 0 6 Violin_fiddle 925 | AFfPFQi8YLQ_30_40 9 10 Speech 926 | 8ZkzbgrJHTE_20_30 0 10 Vacuum_cleaner 927 | I1KW_y86Ql8_90_100 1 2 Basketball_bounce 928 | IxUQZ_1JuFs_30_40 5 10 Clapping 929 | -2WeNked2Xs_30_40 0 10 Car 930 | GzN_gQyCOms_430_440 0 2 Singing 931 | GzN_gQyCOms_430_440 3 8 Singing 932 | GzN_gQyCOms_430_440 9 10 Singing 933 | 0elWYlc8shc_30_40 0 10 Car 934 | FFzJidrb2tg_0_10 0 10 Motorcycle 935 | 37JtYiS-_E4_90_100 0 10 Violin_fiddle 936 | 37JtYiS-_E4_90_100 0 10 Cello 937 | 05pbHOqMVtg_140_150 0 10 Helicopter 938 | E_MoCeM_fgc_30_40 0 10 Cello 939 | KXQ0oFeq_8Q_10_20 0 10 Cello 940 | KXQ0oFeq_8Q_10_20 0 10 Violin_fiddle 941 | HFhl6brdHVU_30_40 0 10 Motorcycle 942 | 2dBLvucCdj4_160_170 0 10 Cat 943 | 2dBLvucCdj4_160_170 1 4 Baby_laughter 944 | 2dBLvucCdj4_160_170 4 7 Speech 945 | 2dBLvucCdj4_160_170 7 8 Baby_laughter 946 | 2dBLvucCdj4_160_170 8 10 Speech 947 | ARZ9kIq_bhk_90_100 0 10 Singing 948 | ARZ9kIq_bhk_90_100 8 9 Clapping 949 | GTMj6EZjRAg_120_130 0 10 Frying_(food) 950 | 2z8v0R3dq44_20_30 0 4 Basketball_bounce 951 | 2z8v0R3dq44_20_30 5 6 Basketball_bounce 952 | 2z8v0R3dq44_20_30 4 7 Cheering 953 | 2z8v0R3dq44_20_30 5 7 Clapping 954 | H3RNXY2UgTI_30_40 0 10 Acoustic_guitar 955 | H3RNXY2UgTI_30_40 2 5 Singing 956 | H3RNXY2UgTI_30_40 6 9 Singing 957 | J6w_jYtQWbk_30_40 0 10 Violin_fiddle 958 | 6gW-ALg2Tio_290_300 0 10 Lawn_mower 959 | 9nfvnaV-Myo_30_40 0 10 Violin_fiddle 960 | 9nfvnaV-Myo_30_40 0 10 Acoustic_guitar 961 | GmetnCLxFHE_40_50 0 10 Dog 962 | 96iNxFTbHVY_30_40 0 10 Accordion 963 | 96iNxFTbHVY_30_40 0 1 Speech 964 | 0ehyZCP7iuQ_80_90 0 10 Vacuum_cleaner 965 | FmOBqP7psWU_40_50 2 4 Chainsaw 966 | FmOBqP7psWU_40_50 6 10 Chainsaw 967 | CDEInOD9GH0_20_30 0 4 Helicopter 968 | NZqRiNeuko8_20_30 0 10 Cat 969 | 4jmv1XpnR90_50_60 1 3 Baby_laughter 970 | 4jmv1XpnR90_50_60 4 10 Baby_laughter 971 | Nh-0sVtY4p8_18_28 0 10 Cat 972 | CTqzJt-Ri34_30_40 0 10 Acoustic_guitar 973 | IZbehUMEpxk_30_40 0 10 Violin_fiddle 974 | IZbehUMEpxk_30_40 0 2 Speech 975 | IZbehUMEpxk_30_40 4 10 Speech 976 | 3aHPlaGoyaA_30_40 0 10 Speech 977 | E3e3s0_2YBQ_40_50 0 10 Chicken_rooster 978 | OyR0xkg80-U_260_270 0 5 Singing 979 | OyR0xkg80-U_260_270 6 10 Speech 980 | M_9pQR8IFRs_10_20 0 10 Cat 981 | EMgt1yfibCY_370_380 0 10 Helicopter 982 | 0W1sdHWIuAs_30_40 0 10 Dog 983 | I-snPee8KXM_30_40 0 10 Speech 984 | I-snPee8KXM_30_40 0 10 Violin_fiddle 985 | G1Ef_w9jhE8_110_120 0 10 Banjo 986 | G1Ef_w9jhE8_110_120 0 10 Acoustic_guitar 987 | LcP8X-b4SmI_60_70 0 7 Dog 988 | LcP8X-b4SmI_60_70 0 10 Vacuum_cleaner 989 | 9bxrcu7lY1s_22_32 0 10 Fire_alarm 990 | HqNElboqs94_220_230 0 10 Blender 991 | HqNElboqs94_220_230 0 1 Speech 992 | K6-BOCjkeBE_10_20 0 1 Speech 993 | K6-BOCjkeBE_10_20 6 10 Speech 994 | BH5P3f60ikk_30_40 0 10 Dog 995 | 2oBqMCzlIKI_50_60 0 6 Vacuum_cleaner 996 | 2oBqMCzlIKI_50_60 8 10 Vacuum_cleaner 997 | 2oBqMCzlIKI_50_60 8 10 Speech 998 | 0SavSPZveDc_380_390 0 10 Speech 999 | 6e3aERe95fI_30_40 0 10 Cat 1000 | FY35Jy_mzfU_110_120 0 10 Motorcycle 1001 | GWvtgDdwoT0_0_10 0 10 Dog 1002 | N2PNOeYJB0c_30_40 0 10 Violin_fiddle 1003 | 0rrQS9Nt48s_180_190 0 10 Frying_(food) 1004 | I4x9bRtdjI4_30_40 0 10 Cello 1005 | I4x9bRtdjI4_30_40 0 10 Violin_fiddle 1006 | FiQ6D89tciA_20_30 0 10 Singing 1007 | HBCBTYMw93s_350_360 0 10 Cello 1008 | HNu8Dg0j7hY_570_580 0 10 Frying_(food) 1009 | 8tA8F83juw0_120_130 6 7 Clapping 1010 | 7XM4DfCbONg_210_220 0 10 Banjo 1011 | 7XM4DfCbONg_210_220 0 10 Violin_fiddle 1012 | 7XM4DfCbONg_210_220 0 10 Cello 1013 | 7XM4DfCbONg_210_220 0 10 Acoustic_guitar 1014 | Li6s-vk_GQs_20_30 0 10 Lawn_mower 1015 | 0o-DD4GwohU_110_120 0 10 Vacuum_cleaner 1016 | Cm7EoUFnLbU_30_40 0 10 Chainsaw 1017 | MUv54DuYKBs_20_30 0 1 Helicopter 1018 | JiaubxT6-fs_20_30 0 10 Dog 1019 | 1SVwE8mtUG8_290_300 0 10 Chainsaw 1020 | N4-YgaGOAYQ_30_40 0 10 Violin_fiddle 1021 | IULwH9sT3R8_30_40 0 10 Vacuum_cleaner 1022 | ENQBXODItVI_100_110 0 3 Basketball_bounce 1023 | ENQBXODItVI_100_110 4 8 Basketball_bounce 1024 | I89oTOuj1Ew_10_20 0 10 Dog 1025 | DiGDeiWzYdc_30_40 0 10 Baby_cry_infant_cry 1026 | MELS2_bSaNU_80_90 0 10 Violin_fiddle 1027 | AxvN5SDWZ74_30_40 6 10 Clapping 1028 | 2Lv-dLVRsaI_30_40 0 10 Car 1029 | LJ-oWEBfvME_220_230 0 10 Vacuum_cleaner 1030 | 5xWHm9t_yAo_30_40 0 10 Violin_fiddle 1031 | C_jegfW0R8U_60_70 0 10 Helicopter 1032 | MrIfjRInMLU_0_10 0 10 Baby_laughter 1033 | N4sW3gpEzfU_70_80 0 10 Chainsaw 1034 | 1v8tkB9u7DI_10_20 0 5 Fire_alarm 1035 | EsEJh7JuX-0_110_120 0 10 Violin_fiddle 1036 | EsEJh7JuX-0_110_120 0 10 Banjo 1037 | 9sS6MHbcO7A_200_210 0 10 Singing 1038 | GlucbS373WI_30_40 0 1 Lawn_mower 1039 | GlucbS373WI_30_40 2 10 Lawn_mower 1040 | GZx7ykInfR4_30_40 0 10 Violin_fiddle 1041 | GZx7ykInfR4_30_40 0 3 Speech 1042 | BSuuvLgxclA_30_40 0 10 Chicken_rooster 1043 | ARlOo2FqCfA_6_16 0 10 Chicken_rooster 1044 | CULZ1SLVGss_10_20 0 2 Dog 1045 | CULZ1SLVGss_10_20 3 8 Dog 1046 | CULZ1SLVGss_10_20 9 10 Dog 1047 | CULZ1SLVGss_10_20 8 10 Speech 1048 | 14lfcY6CwZY_30_40 0 10 Speech 1049 | 14lfcY6CwZY_30_40 0 10 Car 1050 | 2okJDQuTVF4_30_40 0 10 Helicopter 1051 | 71MwJKnUfUI_190_200 7 10 Acoustic_guitar 1052 | 71MwJKnUfUI_190_200 7 10 Singing 1053 | 5-2Tt3g6A8c_310_320 0 10 Helicopter 1054 | HLyZ9WSj8Ew_30_40 0 3 Singing 1055 | HLyZ9WSj8Ew_30_40 8 10 Singing 1056 | 1asrcrzsvuo_160_170 0 10 Blender 1057 | AuriFQYfJbY_30_40 0 4 Speech 1058 | AuriFQYfJbY_30_40 4 10 Singing 1059 | MjGmx90Za_M_10_20 0 1 Basketball_bounce 1060 | MjGmx90Za_M_10_20 2 5 Basketball_bounce 1061 | MjGmx90Za_M_10_20 8 10 Basketball_bounce 1062 | OGw7IRDLu4w_12_22 0 10 Cat 1063 | GOa3javNa-8_570_580 0 10 Frying_(food) 1064 | KDNnpxD4lWU_60_70 0 10 Dog 1065 | KDNnpxD4lWU_60_70 2 4 Baby_laughter 1066 | DGSV4gjn94I_280_290 0 5 Violin_fiddle 1067 | DGSV4gjn94I_280_290 0 10 Cello 1068 | IU36VhygUGY_0_10 0 10 Lawn_mower 1069 | FqVYB3Z63uI_210_220 0 10 Frying_(food) 1070 | NMo2M0rO8Ag_30_40 0 10 Helicopter 1071 | 18Upv_ZinJ0_90_100 0 10 Vacuum_cleaner 1072 | DzZYpUrrqzY_120_130 0 10 Dog 1073 | Eejf2Tw0Tpc_30_40 0 10 Dog 1074 | 28WMzKS8Mvg_40_50 0 10 Vacuum_cleaner 1075 | ORMBTAJOTQQ_30_40 0 10 Cello 1076 | ORMBTAJOTQQ_30_40 0 10 Violin_fiddle 1077 | GSaAFfWgeb4_30_40 0 10 Chicken_rooster 1078 | M7jTWJYmgAc_30_40 0 10 Baby_cry_infant_cry 1079 | M7jTWJYmgAc_30_40 6 9 Speech 1080 | ICZwwC37gsE_30_40 0 10 Cello 1081 | 1W1G5xI6fdE_21_31 0 5 Car 1082 | 0JAGPDtKZ68_350_360 5 10 Cheering 1083 | M-EPKxTNfbQ_70_80 0 2 Chicken_rooster 1084 | 7X1_j3XrgnA_30_40 0 10 Telephone_bell_ringing 1085 | MsXnQIFU1Ek_30_40 0 10 Violin_fiddle 1086 | MsXnQIFU1Ek_30_40 0 10 Cello 1087 | ABF9u7YgQL0_110_120 0 7 Accordion 1088 | DLKDQyjlmMc_30_40 0 10 Baby_cry_infant_cry 1089 | DLKDQyjlmMc_30_40 8 10 Speech 1090 | DPCf8taGIGw_30_40 0 10 Cello 1091 | DPCf8taGIGw_30_40 0 10 Violin_fiddle 1092 | DPCf8taGIGw_30_40 0 10 Acoustic_guitar 1093 | 6_ADEY85YME_110_120 0 10 Blender 1094 | B5WupLl29jI_40_50 0 8 Cat 1095 | LbQ1CDjxy0w_40_50 0 10 Cat 1096 | KliVsEcJ1Do_130_140 0 3 Speech 1097 | KliVsEcJ1Do_130_140 4 10 Baby_laughter 1098 | KliVsEcJ1Do_130_140 9 10 Speech 1099 | CUpj8e4vfr0_10_20 0 10 Vacuum_cleaner 1100 | HxvLp4XAYM0_30_40 0 10 Lawn_mower 1101 | D2-Rg8oftng_30_40 0 3 Baby_laughter 1102 | D2-Rg8oftng_30_40 8 10 Speech 1103 | 7ukkbeEdBd4_20_30 0 1 Basketball_bounce 1104 | 7ukkbeEdBd4_20_30 3 4 Basketball_bounce 1105 | 7ukkbeEdBd4_20_30 7 8 Basketball_bounce 1106 | 7ukkbeEdBd4_20_30 9 10 Basketball_bounce 1107 | A2ZSL40icvk_21_31 0 7 Dog 1108 | 8rhDoGEvAtI_0_10 1 10 Banjo 1109 | 8rhDoGEvAtI_0_10 1 10 Cello 1110 | 8rhDoGEvAtI_0_10 3 10 Singing 1111 | MnwwrlH3LOQ_90_100 0 10 Acoustic_guitar 1112 | MnwwrlH3LOQ_90_100 1 4 Singing 1113 | MnwwrlH3LOQ_90_100 7 9 Singing 1114 | KojwdV9dkBU_120_130 0 10 Cat 1115 | HAwbu6oNapk_130_140 0 10 Singing 1116 | K-t3vHYBnmE_30_40 0 9 Baby_cry_infant_cry 1117 | 3TtTUhlMu7I_10_20 0 4 Basketball_bounce 1118 | 3TtTUhlMu7I_10_20 7 8 Basketball_bounce 1119 | 3TtTUhlMu7I_10_20 9 10 Basketball_bounce 1120 | 66s_MyBd47s_360_370 3 5 Frying_(food) 1121 | E2KwdwAJtgg_140_150 0 10 Cat 1122 | E2KwdwAJtgg_140_150 0 10 Dog 1123 | MdmawJ_wleI_30_40 0 10 Cat 1124 | HVDmckfsc4M_30_40 0 10 Baby_cry_infant_cry 1125 | ANNIeZ6xhmM_30_40 0 10 Cheering 1126 | ANNIeZ6xhmM_30_40 0 10 Clapping 1127 | C_wzVkYrpMU_70_80 0 10 Helicopter 1128 | Fygm03Gw19Y_30_40 0 10 Helicopter 1129 | Fr0MofY-CVo_20_30 0 10 Dog 1130 | C7RVL4aRnaM_7_17 0 10 Motorcycle 1131 | Hw9Z6LEsJ6E_180_190 0 10 Singing 1132 | Hw9Z6LEsJ6E_180_190 0 6 Accordion 1133 | KDN-h5yVWRw_25_35 0 8 Baby_cry_infant_cry 1134 | Aulv3ps28cw_110_120 0 10 Acoustic_guitar 1135 | BALWO0KXoYU_40_50 0 8 Clapping 1136 | HqP_9D8m2_o_50_60 1 10 Singing 1137 | 9_CJeverblQ_0_10 0 10 Dog 1138 | HbhIIXh9b-U_280_290 0 10 Vacuum_cleaner 1139 | FbGHcKNRUBc_18_28 0 10 Violin_fiddle 1140 | 1S9eqzFk-IE_80_90 0 1 Helicopter 1141 | 1S9eqzFk-IE_80_90 3 10 Helicopter 1142 | FOEzt0IIaoU_0_10 0 10 Dog 1143 | AEVDoAasepg_280_290 0 10 Singing 1144 | 38_sexPaGyc_30_40 0 10 Car 1145 | OmgS8E_5N3U_280_290 0 10 Frying_(food) 1146 | Jxhxk43ruDk_140_150 0 6 Car 1147 | Jxhxk43ruDk_140_150 7 10 Motorcycle 1148 | IkyrCy-ErUE_0_10 0 10 Chicken_rooster 1149 | 1ErafvijpM4_10_20 0 10 Car 1150 | KD141Cqf6Dg_130_140 0 10 Blender 1151 | 052B1KqZNvc_30_40 0 10 Car 1152 | NdSOBMWdj3g_120_130 0 10 Blender 1153 | Muh79_vUNTc_110_120 0 10 Violin_fiddle 1154 | A3g946O82S4_150_160 0 10 Acoustic_guitar 1155 | A3g946O82S4_150_160 0 6 Singing 1156 | A3g946O82S4_150_160 6 7 Speech 1157 | A3g946O82S4_150_160 8 10 Clapping 1158 | EDYz3E4o5g0_200_210 2 10 Motorcycle 1159 | 31ZR-LROPaE_30_40 0 10 Car 1160 | JfKOvG5o6H0_0_10 0 2 Dog 1161 | JfKOvG5o6H0_0_10 3 9 Dog 1162 | IjgCZlauTl8_40_50 5 10 Vacuum_cleaner 1163 | Fc5SeWp7Ouo_20_30 0 10 Lawn_mower 1164 | B6KL-BlnzAA_30_40 3 5 Dog 1165 | B6KL-BlnzAA_30_40 6 10 Dog 1166 | GJBUBAP_lf4_220_230 0 10 Singing 1167 | FX7m8rS8Ac4_11_21 0 9 Baby_cry_infant_cry 1168 | 9XizawW_2-k_0_10 0 5 Clapping 1169 | 9XizawW_2-k_0_10 9 10 Clapping 1170 | MS8ycgmIHxQ_30_40 0 10 Chicken_rooster 1171 | -9ummbDsgFM_30_40 1 10 Chainsaw 1172 | IkFw4fRxtDM_100_110 4 10 Singing 1173 | 2h_AK0OQ42o_30_40 0 10 Car 1174 | FXcVh8Dbf0U_140_150 0 1 Singing 1175 | FXcVh8Dbf0U_140_150 2 10 Singing 1176 | OEpENK6brCY_20_30 0 10 Chicken_rooster 1177 | LTmnYdPxCaw_24_34 0 9 Helicopter 1178 | BGoSFqLfyvI_40_50 0 10 Cat 1179 | 4m4aH1ZE9gI_370_380 0 10 Banjo 1180 | 4m4aH1ZE9gI_370_380 0 10 Speech 1181 | GiO1oSKGTxY_110_120 0 10 Speech 1182 | 6KgVhi8eYjc_30_40 0 10 Chicken_rooster 1183 | C3qZuY0JRXY_40_50 2 9 Fire_alarm 1184 | Clm-NuOPi1o_300_310 0 10 Singing 1185 | Clm-NuOPi1o_300_310 0 10 Banjo 1186 | Clm-NuOPi1o_300_310 0 10 Acoustic_guitar 1187 | Clm-NuOPi1o_300_310 0 10 Cello 1188 | -9b-N3vQj2k_30_40 3 10 Cheering 1189 | 2d8NZkctxm8_30_40 0 10 Car 1190 | 2d8NZkctxm8_30_40 3 6 Speech 1191 | 2u1uhPJjG0E_130_140 0 10 Frying_(food) 1192 | 9bohQsESuaU_20_30 0 10 Chicken_rooster 1193 | 0yCFCh8e10Y_10_20 0 10 Vacuum_cleaner 1194 | HXwYqGau-mk_230_240 0 6 Singing 1195 | HXwYqGau-mk_230_240 6 10 Cheering 1196 | HXwYqGau-mk_230_240 6 10 Clapping 1197 | M1467mz9VK0_30_40 0 1 Speech 1198 | M1467mz9VK0_30_40 0 7 Violin_fiddle 1199 | M1467mz9VK0_30_40 9 10 Violin_fiddle 1200 | K53-32lDqsA_60_70 0 10 Clapping 1201 | K53-32lDqsA_60_70 8 10 Cheering 1202 | 0fLcfpmn38I_30_40 0 10 Car 1203 | KHVnB6XI7Q8_230_240 0 6 Singing 1204 | KHVnB6XI7Q8_230_240 8 10 Singing 1205 | KHVnB6XI7Q8_230_240 0 10 Acoustic_guitar 1206 | ClDte4kdW6E_0_10 0 10 Accordion 1207 | LcFWKgFphXI_20_30 0 8 Clapping 1208 | LcFWKgFphXI_20_30 0 9 Singing 1209 | 9jrgVZRr_ls_30_40 0 10 Acoustic_guitar 1210 | Bo8UOutX7mQ_170_180 0 10 Violin_fiddle 1211 | EN50BTjjnrs_8_18 0 7 Baby_cry_infant_cry 1212 | EN50BTjjnrs_8_18 7 9 Speech 1213 | E_BDly6VGzk_30_40 0 2 Baby_cry_infant_cry 1214 | E_BDly6VGzk_30_40 5 9 Baby_cry_infant_cry 1215 | 5hExI3Kf6bw_30_40 0 10 Accordion 1216 | AOoF-NIAFbQ_30_40 0 10 Acoustic_guitar 1217 | AOoF-NIAFbQ_30_40 0 7 Speech 1218 | 6zGSFN2LhRQ_30_40 0 10 Accordion 1219 | 9fp-9qML6j0_0_10 0 10 Blender 1220 | 1VJRQfad9RM_30_40 0 10 Car 1221 | EGgx22VQP-I_240_250 0 10 Acoustic_guitar 1222 | 1A6dFiD40qk_30_40 0 10 Car 1223 | K20ST5Eksz4_20_30 0 10 Acoustic_guitar 1224 | OtdtxDfCEpI_40_50 0 10 Chicken_rooster 1225 | NDlK1ogSENw_16_26 0 10 Baby_cry_infant_cry 1226 | JMLZAxGosWI_220_230 0 10 Frying_(food) 1227 | Lw-mExSqCok_0_10 6 10 Helicopter 1228 | Lw-mExSqCok_0_10 0 6 Cheering 1229 | Lw-mExSqCok_0_10 0 6 Clapping 1230 | 7CMYwP1EvKM_60_70 0 10 Motorcycle 1231 | Ky-u1jW0bLw_10_20 0 6 Speech 1232 | Ky-u1jW0bLw_10_20 6 10 Clapping 1233 | Ky-u1jW0bLw_10_20 6 10 Cheering 1234 | 9YWr88Wvw28_60_70 0 10 Vacuum_cleaner 1235 | 0tL1Mc95WyY_3_13 0 10 Car 1236 | 1F93M55BYbM_3_13 0 10 Car 1237 | 1F93M55BYbM_3_13 5 10 Motorcycle 1238 | G3pBZO5zFrE_340_350 0 10 Blender 1239 | BGfHJ80IBA8_30_40 0 10 Helicopter 1240 | AQh9Zek1q8k_170_180 0 10 Helicopter 1241 | BE4v9ixDwmA_30_40 0 10 Acoustic_guitar 1242 | KNY4yu5-7kg_143_153 0 4 Fire_alarm 1243 | GRGvhudh9s0_30_40 0 10 Helicopter 1244 | 3GzSX64mz9A_120_130 0 10 Frying_(food) 1245 | 3K0ud-1Qk9c_60_70 0 10 Violin_fiddle 1246 | 3K0ud-1Qk9c_60_70 0 10 Banjo 1247 | NiBG3iiTIl4_40_50 0 10 Dog 1248 | DQf3Ti20erk_530_540 0 10 Acoustic_guitar 1249 | DQf3Ti20erk_530_540 0 7 Speech 1250 | DQf3Ti20erk_530_540 8 10 Speech 1251 | NageMZSe7OE_30_40 0 5 Violin_fiddle 1252 | NageMZSe7OE_30_40 7 8 Violin_fiddle 1253 | NageMZSe7OE_30_40 0 2 Cello 1254 | NageMZSe7OE_30_40 3 5 Cello 1255 | NageMZSe7OE_30_40 7 8 Cello 1256 | AYm8GkIxGGM_30_40 0 4 Acoustic_guitar 1257 | AYm8GkIxGGM_30_40 9 10 Acoustic_guitar 1258 | HG8nmD-CHVQ_0_10 0 1 Speech 1259 | HG8nmD-CHVQ_0_10 2 10 Singing 1260 | AwHupnbzjOU_10_20 0 10 Motorcycle 1261 | AwHupnbzjOU_10_20 5 6 Car 1262 | AwHupnbzjOU_10_20 7 10 Car 1263 | Mgbg7X2pByE_270_280 0 10 Frying_(food) 1264 | 9lB-VgsK7EE_0_10 0 10 Dog 1265 | Emc7WAjMfF8_20_30 0 1 Singing 1266 | Emc7WAjMfF8_20_30 1 4 Speech 1267 | Emc7WAjMfF8_20_30 6 10 Singing 1268 | 01zSTM-3yjk_10_20 0 10 Vacuum_cleaner 1269 | BoQbqWnU4c0_70_80 0 10 Vacuum_cleaner 1270 | 0p9ClF5DXNo_160_170 0 9 Vacuum_cleaner 1271 | 0p9ClF5DXNo_160_170 0 10 Cat 1272 | JcCvdDhZmOo_190_200 0 10 Frying_(food) 1273 | Gu8zGt0iK7A_30_40 0 10 Violin_fiddle 1274 | Gu8zGt0iK7A_30_40 1 8 Speech 1275 | MWNEee5N6SM_9_19 0 10 Cat 1276 | 86eQxmsjwM4_310_320 0 10 Vacuum_cleaner 1277 | EeoyscjnXrg_160_170 0 10 Lawn_mower 1278 | H8FPgLh1mfg_50_60 0 10 Dog 1279 | 5YUfq2YeYdI_30_40 0 4 Chainsaw 1280 | LMKzjvc93sA_30_40 0 10 Frying_(food) 1281 | NS3brbiBM-4_30_40 0 10 Cheering 1282 | NS3brbiBM-4_30_40 0 10 Clapping 1283 | NS3brbiBM-4_30_40 6 10 Car 1284 | CkmRxFYDHBU_210_220 0 10 Frying_(food) 1285 | 7CcA8xdUah4_120_130 4 10 Dog 1286 | 0QPnouN3Hq8_30_40 0 10 Car 1287 | 1efQ-Expp4s_50_60 0 10 Vacuum_cleaner 1288 | 5u9QqiB08Fg_10_20 0 10 Accordion 1289 | 6TweVTyp6a4_30_40 1 4 Cheering 1290 | 6TweVTyp6a4_30_40 6 10 Cheering 1291 | 6TweVTyp6a4_30_40 4 6 Speech 1292 | 6TweVTyp6a4_30_40 7 9 Clapping 1293 | BJQf1e61WlQ_30_40 0 10 Violin_fiddle 1294 | BJQf1e61WlQ_30_40 1 3 Speech 1295 | BJQf1e61WlQ_30_40 4 10 Speech 1296 | 5JBkO-Dyuis_0_10 0 3 Basketball_bounce 1297 | 5JBkO-Dyuis_0_10 6 10 Basketball_bounce 1298 | 5JBkO-Dyuis_0_10 6 9 Cheering 1299 | 5JBkO-Dyuis_0_10 6 9 Clapping 1300 | IXmenNs7MpI_10_20 0 10 Chicken_rooster 1301 | HsShknbuIK4_0_10 0 10 Cat 1302 | HsShknbuIK4_0_10 1 2 Speech 1303 | HsShknbuIK4_0_10 3 5 Speech 1304 | HsShknbuIK4_0_10 9 10 Speech 1305 | Gw4emZzJtzo_90_100 0 10 Frying_(food) 1306 | AjZ1Yaz-540_28_38 0 10 Chainsaw 1307 | ETLXmqQFcBM_300_310 0 10 Singing 1308 | ETLXmqQFcBM_300_310 0 10 Accordion 1309 | McK4y6_znE4_240_250 2 10 Motorcycle 1310 | 2MCyHJKRLYA_20_30 0 10 Cheering 1311 | 1easzswv0OM_130_140 0 10 Blender 1312 | CLQ9jFeb0pQ_13_23 0 6 Baby_cry_infant_cry 1313 | ISwSxZmWM24_170_180 1 2 Basketball_bounce 1314 | ISwSxZmWM24_170_180 3 5 Basketball_bounce 1315 | ISwSxZmWM24_170_180 6 7 Basketball_bounce 1316 | H96RpfYiBNU_10_20 0 10 Banjo 1317 | H96RpfYiBNU_10_20 0 10 Acoustic_guitar 1318 | H96RpfYiBNU_10_20 0 10 Violin_fiddle 1319 | H96RpfYiBNU_10_20 6 10 Singing 1320 | Eh63MlTra_U_160_170 0 2 Acoustic_guitar 1321 | Eh63MlTra_U_160_170 2 10 Singing 1322 | A7AV1P4R3eY_130_140 0 10 Chicken_rooster 1323 | DIV2w0lpHgM_27_37 0 10 Chicken_rooster 1324 | 0Fc42_i3G80_100_110 1 10 Vacuum_cleaner 1325 | BafIZkvv6SE_30_40 0 10 Acoustic_guitar 1326 | BafIZkvv6SE_30_40 0 3 Singing 1327 | BafIZkvv6SE_30_40 8 10 Singing 1328 | DH3NHfO5k4s_20_30 0 6 Singing 1329 | DH3NHfO5k4s_20_30 7 10 Singing 1330 | DH3NHfO5k4s_20_30 7 10 Acoustic_guitar 1331 | DH3NHfO5k4s_20_30 7 10 Clapping 1332 | 4-LmoEML4vQ_440_450 0 10 Violin_fiddle 1333 | 4-LmoEML4vQ_440_450 0 10 Cello 1334 | F4eHCGEr1_A_70_80 0 10 Violin_fiddle 1335 | F4eHCGEr1_A_70_80 0 10 Cello 1336 | CY0DQixJ2s4_0_10 0 4 Singing 1337 | CY0DQixJ2s4_0_10 5 9 Singing 1338 | 3u96MxfeTVU_90_100 0 5 Singing 1339 | 3u96MxfeTVU_90_100 0 10 Acoustic_guitar 1340 | 3u96MxfeTVU_90_100 0 10 Banjo 1341 | 3u96MxfeTVU_90_100 0 10 Cello 1342 | KFdPDpr62i0_190_200 5 10 Lawn_mower 1343 | JR09cQfpjqE_30_40 0 10 Violin_fiddle 1344 | JR09cQfpjqE_30_40 1 5 Speech 1345 | 3sZMw6BdA1Y_30_40 0 2 Speech 1346 | 3sZMw6BdA1Y_30_40 3 4 Speech 1347 | 3sZMw6BdA1Y_30_40 5 6 Speech 1348 | 3sZMw6BdA1Y_30_40 9 10 Speech 1349 | IVtnMeVpN1w_560_570 0 10 Acoustic_guitar 1350 | IVtnMeVpN1w_560_570 5 8 Speech 1351 | HHuHETn8hHA_50_60 0 10 Acoustic_guitar 1352 | HHuHETn8hHA_50_60 0 10 Clapping 1353 | HHuHETn8hHA_50_60 2 7 Singing 1354 | HHuHETn8hHA_50_60 9 10 Singing 1355 | E7XaZtFSiZA_60_70 6 10 Speech 1356 | BkUdwj5JR0Q_20_30 0 10 Speech 1357 | BkUdwj5JR0Q_20_30 3 10 Blender 1358 | KP2H8e3MDBg_0_10 2 10 Cat 1359 | FCTPUd9iYHc_130_140 0 10 Dog 1360 | Dcx8IgLXtKw_30_40 0 10 Violin_fiddle 1361 | EKMWyHlCzok_30_40 0 10 Blender 1362 | BCfEC6kZ1KQ_180_190 0 10 Cello 1363 | BCfEC6kZ1KQ_180_190 0 10 Acoustic_guitar 1364 | BCfEC6kZ1KQ_180_190 0 10 Violin_fiddle 1365 | 4LrIrsf0-RQ_60_70 3 5 Basketball_bounce 1366 | 38QzYOWXjM4_21_31 1 2 Car 1367 | 38QzYOWXjM4_21_31 2 3 Car 1368 | 38QzYOWXjM4_21_31 4 9 Speech 1369 | GUprpVDR2Hg_80_90 0 10 Cello 1370 | GUprpVDR2Hg_80_90 0 10 Violin_fiddle 1371 | -3zSILamaBM_16_26 0 8 Chainsaw 1372 | LOXiJnA8M1Q_70_80 0 2 Frying_(food) 1373 | LOXiJnA8M1Q_70_80 4 10 Frying_(food) 1374 | OrZKKcO1SQw_30_40 0 10 Cello 1375 | OrZKKcO1SQw_30_40 0 10 Violin_fiddle 1376 | FeC3GFT1GFk_180_190 0 10 Chicken_rooster 1377 | E-TphCWQpWk_30_40 0 10 Cat 1378 | 3AZw1zRDdcE_170_180 0 10 Frying_(food) 1379 | 0ezR24_jTDA_70_80 0 5 Basketball_bounce 1380 | 0ezR24_jTDA_70_80 7 10 Speech 1381 | IABUo0b5tpc_30_40 0 10 Dog 1382 | 18ga5cnUrmk_80_90 0 10 Frying_(food) 1383 | 2vUXdUrqSj0_70_80 8 10 Singing 1384 | 9ryLmLuBy0M_270_280 5 10 Chicken_rooster 1385 | CqfeA4ZiWg4_70_80 0 3 Cat 1386 | CqfeA4ZiWg4_70_80 9 10 Cat 1387 | CqfeA4ZiWg4_70_80 5 7 Speech 1388 | C59ePDyEDbU_30_40 0 10 Clapping 1389 | C59ePDyEDbU_30_40 0 10 Singing 1390 | 6eT3o01nEmo_30_40 0 10 Cello 1391 | 6eT3o01nEmo_30_40 0 10 Violin_fiddle 1392 | IDGj7JyTS2w_10_20 0 10 Dog 1393 | E0P9OfvzBpY_30_40 0 10 Cat 1394 | L9ft4YFUFmc_90_100 0 10 Motorcycle 1395 | 0ULOk49bHkI_180_190 0 10 Car 1396 | NFZ0U84FQ24_30_40 0 10 Lawn_mower 1397 | P48JilRIyjc_30_40 0 10 Violin_fiddle 1398 | O8jf3XyhkkY_30_40 0 10 Cat 1399 | M0SxS0glJDU_180_190 3 8 Accordion 1400 | M0SxS0glJDU_180_190 0 8 Violin_fiddle 1401 | 28c_azOmujY_20_30 0 10 Vacuum_cleaner 1402 | 0gJPpZXeGms_10_20 0 10 Dog 1403 | 0gJPpZXeGms_10_20 0 10 Car 1404 | 4si49U1zha4_30_40 8 10 Singing 1405 | 4si49U1zha4_30_40 0 10 Clapping 1406 | JU78MHJ3bHc_10_20 0 10 Dog 1407 | 9dhQzk0Nrcc_30_40 0 10 Speech 1408 | A2QANb6eVOk_18_28 0 8 Speech 1409 | A2QANb6eVOk_18_28 0 10 Clapping 1410 | E88iyzlzuLs_330_340 0 10 Dog 1411 | 7JD8chF_SJY_0_10 3 9 Basketball_bounce 1412 | Jj3vSp0UYYk_30_40 0 10 Helicopter 1413 | 7LViMtUpw8Q_40_50 0 10 Helicopter 1414 | FCnSVLG31Yg_120_130 0 10 Blender 1415 | MlCY7E5IYbo_20_30 0 10 Acoustic_guitar 1416 | A6JssUPm4Eg_20_30 0 10 Chicken_rooster 1417 | 49zutSfmZ2o_90_100 0 10 Acoustic_guitar 1418 | 49zutSfmZ2o_90_100 0 6 Singing 1419 | 49zutSfmZ2o_90_100 7 10 Singing 1420 | 1vdboF6KhB0_30_40 0 10 Car 1421 | CSADwKB1Y5E_100_110 2 10 Singing 1422 | CSADwKB1Y5E_100_110 0 2 Violin_fiddle 1423 | CSADwKB1Y5E_100_110 0 10 Banjo 1424 | CSADwKB1Y5E_100_110 1 10 Acoustic_guitar 1425 | GLqZio7In10_30_40 0 10 Accordion 1426 | AgNLukhkI9A_40_50 0 10 Acoustic_guitar 1427 | HArFBr_65N4_90_100 0 7 Clapping 1428 | HArFBr_65N4_90_100 8 10 Clapping 1429 | HArFBr_65N4_90_100 0 10 Singing 1430 | 0eaafXX-pPE_30_40 0 4 Baby_laughter 1431 | 0eaafXX-pPE_30_40 6 8 Baby_laughter 1432 | 8MqTPaJRLXU_30_40 0 10 Singing 1433 | 8MqTPaJRLXU_30_40 1 2 Clapping 1434 | ERjtCDLt4sQ_20_30 0 10 Violin_fiddle 1435 | ERjtCDLt4sQ_20_30 0 6 Cello 1436 | OW-iRCDVysg_30_40 1 10 Baby_cry_infant_cry 1437 | LcKlInyt_d4_10_20 0 10 Vacuum_cleaner 1438 | 0ZAR-Tbrv3s_150_160 7 10 Singing 1439 | AQpmpzgr6cI_220_230 3 10 Fire_alarm 1440 | 3CBZqO2vioI_150_160 0 10 Cheering 1441 | 3CBZqO2vioI_150_160 1 3 Clapping 1442 | Fxb_iCsmqAM_30_40 0 10 Violin_fiddle 1443 | Fxb_iCsmqAM_30_40 0 10 Acoustic_guitar 1444 | 9kPBS_0Entg_30_40 0 10 Acoustic_guitar 1445 | 9kPBS_0Entg_30_40 0 9 Speech 1446 | D9AngpPyRRg_0_10 9 10 Cheering 1447 | D9AngpPyRRg_0_10 7 9 Acoustic_guitar 1448 | J1r2298msAc_30_40 1 2 Basketball_bounce 1449 | J1r2298msAc_30_40 7 10 Basketball_bounce 1450 | 4F6dZyeUQ7o_0_10 0 10 Chicken_rooster 1451 | F6-hgd5vlOY_250_260 2 3 Basketball_bounce 1452 | F6-hgd5vlOY_250_260 4 10 Basketball_bounce 1453 | 7_MjnPGZb3g_30_40 0 10 Fire_alarm 1454 | AjxSwEBhzmw_120_130 0 10 Acoustic_guitar 1455 | AjxSwEBhzmw_120_130 0 10 Singing 1456 | A-OeFhnlam4_30_40 0 10 Cat 1457 | EioAuS-NZcM_30_40 2 5 Baby_cry_infant_cry 1458 | EioAuS-NZcM_30_40 8 10 Baby_cry_infant_cry 1459 | 0kAaPH2wrvM_140_150 0 10 Vacuum_cleaner 1460 | 2TIrLDa9ilo_90_100 0 10 Singing 1461 | 3F3bbl6t2_g_30_40 0 10 Acoustic_guitar 1462 | 3F3bbl6t2_g_30_40 0 10 Violin_fiddle 1463 | AwZvBmQ6a48_50_60 0 10 Cello 1464 | ItmMVkEzs4E_50_60 0 10 Banjo 1465 | ItmMVkEzs4E_50_60 0 5 Singing 1466 | J1jvG3qD8K4_30_40 0 10 Dog 1467 | 6agI5a-5TGY_270_280 0 10 Vacuum_cleaner 1468 | CEFdqhSm4rk_10_20 0 9 Fire_alarm 1469 | KdIrYOmwm3M_150_160 0 8 Car 1470 | KdIrYOmwm3M_150_160 0 8 Motorcycle 1471 | BSaCSGuS8_8_200_210 0 7 Motorcycle 1472 | BSaCSGuS8_8_200_210 8 10 Motorcycle 1473 | LXXHu4LCMU0_310_320 0 10 Violin_fiddle 1474 | LXXHu4LCMU0_310_320 0 10 Cello 1475 | Nfg19Upom8A_0_10 0 10 Lawn_mower 1476 | EIy2hSlwqMg_540_550 0 2 Speech 1477 | EIy2hSlwqMg_540_550 2 10 Singing 1478 | 9ltErwU9WZE_0_10 0 10 Cat 1479 | Godz5tRIaRU_30_40 0 10 Helicopter 1480 | Kl7OB6fk26c_50_60 0 10 Dog 1481 | GWFmUCizdfA_4_14 0 10 Helicopter 1482 | HLTZISEUndk_6_16 0 10 Chicken_rooster 1483 | 2S5nRkhDT9M_240_250 0 10 Accordion 1484 | IopckGXSIIU_550_560 6 8 Basketball_bounce 1485 | IopckGXSIIU_550_560 5 7 Speech 1486 | Ng0IR-V8t9k_7_17 0 10 Dog 1487 | PAsI01GRYlY_30_40 8 10 Chicken_rooster 1488 | 5cHQC4DrdtE_10_20 5 8 Basketball_bounce 1489 | 3qFOzgoWALk_90_100 0 2 Baby_laughter 1490 | 3qFOzgoWALk_90_100 3 9 Baby_laughter 1491 | JFhegixCl3U_240_250 0 10 Cheering 1492 | N1cTKfsnr0c_30_40 0 10 Baby_cry_infant_cry 1493 | 5M8JlZNtw0w_20_30 0 10 Vacuum_cleaner 1494 | OPYtTs1AOAw_110_120 0 9 Helicopter 1495 | KDLQygmUohg_30_40 0 10 Violin_fiddle 1496 | 94WKpc0i-hE_80_90 0 10 Helicopter 1497 | FY1hsJpoBF4_250_260 0 10 Motorcycle 1498 | KvIjsmANkxI_10_20 0 10 Cat 1499 | NhFBf-RKxnE_10_20 0 10 Motorcycle 1500 | EHj1VEogUxE_30_40 0 10 Accordion 1501 | DNZHSSyAH3Y_310_320 0 10 Cheering 1502 | C3c2gejSvtk_30_40 0 10 Acoustic_guitar 1503 | AmsZlVPWqGw_460_470 7 10 Helicopter 1504 | E5dctPO-Kqs_140_150 0 10 Helicopter 1505 | LuChwFtVLpI_30_40 0 10 Lawn_mower 1506 | Db6ysxwfK9M_530_540 0 10 Singing 1507 | Db6ysxwfK9M_530_540 0 9 Clapping 1508 | Lw4uqIDhAa4_30_40 0 5 Singing 1509 | Lw4uqIDhAa4_30_40 2 5 Violin_fiddle 1510 | Lw4uqIDhAa4_30_40 6 10 Violin_fiddle 1511 | EX7HfmSYTQI_30_40 0 10 Violin_fiddle 1512 | EX7HfmSYTQI_30_40 1 4 Speech 1513 | 5M-KlyJmQPE_310_320 0 10 Lawn_mower 1514 | 5G6b_QWL3nY_60_70 1 10 Frying_(food) 1515 | -5uuZRObZH4_8_18 0 7 Car 1516 | OP1HwnpjoX8_30_40 0 10 Dog 1517 | Ok0jiYLIXEc_80_90 0 10 Accordion 1518 | 13jJ1DHgJgI_30_40 0 1 Car 1519 | BZCgbtdNH6Q_30_40 0 10 Chainsaw 1520 | Ii_Tnig05Dk_300_310 0 10 Vacuum_cleaner 1521 | JCwLITKpcZ8_220_230 0 10 Dog 1522 | 9k9LKIdgLZc_14_24 0 10 Chicken_rooster 1523 | GTfbkrPPJjg_30_40 2 10 Baby_cry_infant_cry 1524 | 9tygoBHyE3k_200_210 0 10 Vacuum_cleaner 1525 | AD7kjeu67-8_10_20 0 10 Chicken_rooster 1526 | LT23oUPcU_s_30_40 0 10 Dog 1527 | 6Q9a3JnuDaA_220_230 5 10 Fire_alarm 1528 | LmSXOOzCXu0_30_40 0 10 Vacuum_cleaner 1529 | EzEsxYLJL7U_70_80 0 10 Acoustic_guitar 1530 | EzEsxYLJL7U_70_80 0 10 Banjo 1531 | EzEsxYLJL7U_70_80 2 7 Singing 1532 | EzEsxYLJL7U_70_80 8 10 Singing 1533 | 1eLSrZhUwCM_30_40 0 10 Car 1534 | Ma5OotVwCh0_100_110 0 10 Helicopter 1535 | 8DIUi5fzTSI_50_60 0 10 Acoustic_guitar 1536 | 8DIUi5fzTSI_50_60 0 10 Violin_fiddle 1537 | 8DIUi5fzTSI_50_60 0 10 Accordion 1538 | Dt_hRwowOnw_120_130 7 10 Acoustic_guitar 1539 | Dt_hRwowOnw_120_130 0 5 Clapping 1540 | 1sF3r4jqCKI_30_40 0 10 Violin_fiddle 1541 | 1sF3r4jqCKI_30_40 0 10 Acoustic_guitar 1542 | FWyDVYWc0t0_160_170 0 10 Singing 1543 | Fhhi2v1P5tE_90_100 0 10 Dog 1544 | NnGM88daFDU_30_40 3 10 Violin_fiddle 1545 | NnGM88daFDU_30_40 3 10 Cello 1546 | Ad4ze1PME68_20_30 0 10 Baby_laughter 1547 | DCp8wxSBoiY_30_40 0 10 Dog 1548 | G39FPqIZkAA_5_15 0 8 Helicopter 1549 | EqBP9Dblf5c_0_10 5 8 Singing 1550 | EqBP9Dblf5c_0_10 9 10 Singing 1551 | Gtie98Go8Wc_10_20 0 10 Motorcycle 1552 | FI20VBtlwLM_40_50 0 10 Chicken_rooster 1553 | K06Ihpg5d4s_60_70 0 10 Cello 1554 | K06Ihpg5d4s_60_70 0 10 Accordion 1555 | K-VmpXAYU6M_80_90 0 10 Clapping 1556 | K-VmpXAYU6M_80_90 0 4 Basketball_bounce 1557 | K-VmpXAYU6M_80_90 7 8 Basketball_bounce 1558 | KhxzuPjDjBc_50_60 0 10 Acoustic_guitar 1559 | Ke2-q_gw7-A_270_280 0 10 Acoustic_guitar 1560 | Ke2-q_gw7-A_270_280 0 1 Speech 1561 | IJtLxh3lMKA_0_10 0 4 Cat 1562 | IJtLxh3lMKA_0_10 8 10 Cat 1563 | 1vQbUPX0-TY_140_150 0 10 Banjo 1564 | 1vQbUPX0-TY_140_150 0 1 Speech 1565 | 1vQbUPX0-TY_140_150 3 10 Singing 1566 | FideUHWF5-4_50_60 0 10 Blender 1567 | MouGuIgIaXQ_120_130 0 3 Accordion 1568 | JdYxbaszdxs_30_40 1 10 Cello 1569 | JdYxbaszdxs_30_40 1 10 Acoustic_guitar 1570 | P8OY0pQgFjQ_50_60 0 6 Helicopter 1571 | 1jxqWh8kOgI_140_150 0 8 Helicopter 1572 | 1jxqWh8kOgI_140_150 8 10 Car 1573 | F4cn9ZkEX9E_490_500 1 6 Basketball_bounce 1574 | F4cn9ZkEX9E_490_500 8 9 Basketball_bounce 1575 | LWlCh2pONQI_20_30 0 10 Acoustic_guitar 1576 | LWlCh2pONQI_20_30 0 8 Singing 1577 | LWlCh2pONQI_20_30 9 10 Singing 1578 | DePQjGiGpSs_570_580 0 10 Cello 1579 | DePQjGiGpSs_570_580 0 10 Violin_fiddle 1580 | AiWLZmYCQzM_450_460 0 7 Cello 1581 | AiWLZmYCQzM_450_460 9 10 Cello 1582 | AiWLZmYCQzM_450_460 0 10 Violin_fiddle 1583 | K7O_jfofE6w_0_10 2 10 Motorcycle 1584 | K7O_jfofE6w_0_10 2 10 Car 1585 | 1FKNzvUjZPw_30_40 0 10 Helicopter 1586 | JHxFlpU4aZg_100_110 3 8 Frying_(food) 1587 | F3w-4MFXP0E_30_40 0 10 Helicopter 1588 | 957DUIy6yfE_30_40 0 10 Motorcycle 1589 | Myu_pzGwbB4_90_100 2 5 Singing 1590 | Myu_pzGwbB4_90_100 9 10 Singing 1591 | NbXrdnw7tjM_180_190 0 10 Accordion 1592 | M1XqFQOvBMA_0_10 0 10 Chicken_rooster 1593 | 6g2aFcP1a_Q_28_38 0 10 Chicken_rooster 1594 | JTbensAt_SE_120_130 4 10 Cat 1595 | 1PflWBiH0m4_10_20 0 10 Car 1596 | 1PflWBiH0m4_10_20 0 3 Motorcycle 1597 | 1PflWBiH0m4_10_20 6 10 Motorcycle 1598 | 3UKgtbHjTBo_60_70 0 10 Acoustic_guitar 1599 | 3UKgtbHjTBo_60_70 0 5 Singing 1600 | 3UKgtbHjTBo_60_70 7 10 Singing 1601 | ARgsWq_PBQo_40_50 0 10 Dog 1602 | Ox-X4TyoLCw_120_130 0 10 Blender 1603 | Ox-X4TyoLCw_120_130 0 1 Speech 1604 | Byy_qXehUG4_170_180 0 10 Singing 1605 | OP7wbUmwMc8_30_40 0 10 Dog 1606 | Jhls1-RQlTo_560_570 0 10 Acoustic_guitar 1607 | CngsPppEunk_10_20 0 10 Baby_cry_infant_cry 1608 | HJwb4hoo0YI_0_10 0 10 Dog 1609 | EKjQ9a_1rj0_30_40 0 10 Violin_fiddle 1610 | EKjQ9a_1rj0_30_40 0 3 Speech 1611 | 1O0nWgEa8_w_30_40 0 10 Car 1612 | EB0Ot7SSwkc_20_30 0 10 Dog 1613 | L2jP-VQExGk_6_16 0 10 Baby_cry_infant_cry 1614 | 0dZis656VIo_30_40 0 10 Car 1615 | EQJO_SCdev0_50_60 0 10 Accordion 1616 | EQJO_SCdev0_50_60 0 6 Violin_fiddle 1617 | EQJO_SCdev0_50_60 0 6 Acoustic_guitar 1618 | EQJO_SCdev0_50_60 0 6 Cello 1619 | MY2PFDV_S2s_140_150 0 10 Acoustic_guitar 1620 | MY2PFDV_S2s_140_150 0 4 Speech 1621 | MY2PFDV_S2s_140_150 6 9 Singing 1622 | DWZvTMIn89k_0_10 0 1 Speech 1623 | 0PxvBPOjDKI_30_40 0 8 Chainsaw 1624 | 9sgHs7OaASA_110_120 0 10 Cat 1625 | 00m3AbSa21M_550_560 0 10 Blender 1626 | 2uYwx8DBmLc_140_150 0 10 Blender 1627 | 8w6sRjVYkow_30_40 0 10 Violin_fiddle 1628 | HHPykWws12s_30_40 0 10 Clapping 1629 | HHPykWws12s_30_40 0 10 Speech 1630 | O5zoP2HCbCk_5_15 0 10 Chicken_rooster 1631 | O5zoP2HCbCk_5_15 0 4 Speech 1632 | 3D8mfbjSp4w_8_18 0 10 Car 1633 | 2UmXe6lOblE_30_40 0 10 Car 1634 | MmBKiw43TZg_30_40 0 10 Dog 1635 | KWdhwfzfppg_260_270 0 10 Cello 1636 | KWdhwfzfppg_260_270 0 10 Violin_fiddle 1637 | KWdhwfzfppg_260_270 0 10 Accordion 1638 | 4O9rI-FpqLg_10_20 0 10 Cheering 1639 | 8sfcMZ8A3OQ_180_190 0 10 Frying_(food) 1640 | JGdkVx81S-k_20_30 0 10 Blender 1641 | 9ggKWjpQPeQ_0_10 0 10 Dog 1642 | BRtGk2YmdJ0_20_30 3 10 Baby_laughter 1643 | 6mWz9fxXO7s_490_500 0 10 Chainsaw 1644 | 6TX5z51nhvQ_30_40 0 10 Accordion 1645 | LzgeBj-P29Q_30_40 0 10 Violin_fiddle 1646 | LzgeBj-P29Q_30_40 0 1 Speech 1647 | FLYjmRy39_g_10_20 0 5 Lawn_mower 1648 | FLYjmRy39_g_10_20 6 10 Lawn_mower 1649 | LYadFGHyPow_350_360 0 10 Chainsaw 1650 | EwTLLwJtDyo_180_190 1 6 Singing 1651 | EwTLLwJtDyo_180_190 9 10 Singing 1652 | EwTLLwJtDyo_180_190 0 10 Acoustic_guitar 1653 | P8saKKI43tA_20_30 0 10 Vacuum_cleaner 1654 | 1PW3CB-gkHk_30_40 0 10 Car 1655 | AsY6Bqnp8I0_590_600 0 10 Motorcycle 1656 | AsY6Bqnp8I0_590_600 0 10 Car 1657 | GvCEvNg0a9w_30_40 0 10 Dog 1658 | GvCEvNg0a9w_30_40 0 10 Speech 1659 | FHgIDw8rGtA_150_160 0 10 Motorcycle 1660 | 5bS6ZvqET4U_210_220 0 10 Singing 1661 | 5bS6ZvqET4U_210_220 0 10 Acoustic_guitar 1662 | FzpI8ggObiE_280_290 0 10 Violin_fiddle 1663 | 2uNBP5Bm2to_30_40 0 10 Car 1664 | Ep3yRHFevHo_0_10 1 4 Basketball_bounce 1665 | Lnpe9u8cF50_90_100 0 1 Singing 1666 | Lnpe9u8cF50_90_100 1 5 Acoustic_guitar 1667 | Lnpe9u8cF50_90_100 4 8 Accordion 1668 | Lnpe9u8cF50_90_100 5 10 Singing 1669 | 7yeWLEus7OI_80_90 0 10 Blender 1670 | AErPqu3A5SI_250_260 0 6 Dog 1671 | Cyi2fuiswx8_27_37 0 6 Baby_cry_infant_cry 1672 | -9D8GR2VBKE_40_50 9 10 Frying_(food) 1673 | C1Gy-TCPU1k_30_40 0 10 Helicopter 1674 | IBdAV36uQCg_0_10 1 6 Singing 1675 | IBdAV36uQCg_0_10 6 7 Speech 1676 | IBdAV36uQCg_0_10 8 10 Singing 1677 | IBdAV36uQCg_0_10 0 10 Acoustic_guitar 1678 | CnXeNxV7se0_20_30 0 4 Violin_fiddle 1679 | CnXeNxV7se0_20_30 3 7 Acoustic_guitar 1680 | CnXeNxV7se0_20_30 3 10 Cello 1681 | DS_kzdgXoV4_30_40 0 10 Accordion 1682 | 8hkevfLlY6U_70_80 0 10 Accordion 1683 | 1eOhQvtQHm0_160_170 0 10 Blender 1684 | 1eOhQvtQHm0_160_170 1 3 Speech 1685 | 1eOhQvtQHm0_160_170 6 10 Speech 1686 | 7bPt8dhIAiU_120_130 0 10 Vacuum_cleaner 1687 | LMqpXcUyLTU_0_10 0 10 Speech 1688 | LMqpXcUyLTU_0_10 0 10 Baby_cry_infant_cry 1689 | 9rtvuHifBEY_30_40 0 10 Chicken_rooster 1690 | 0zAFUHzL5kU_23_33 0 10 Car 1691 | 8nfl_0VXMZs_30_40 0 10 Violin_fiddle 1692 | GTxET6TlBRM_30_40 0 3 Baby_cry_infant_cry 1693 | GTxET6TlBRM_30_40 6 10 Baby_cry_infant_cry 1694 | 2UZmUuUPqr8_90_100 0 10 Frying_(food) 1695 | LBbDtEE9l2Q_18_28 0 10 Cat 1696 | LO_DK-3poPg_130_140 0 3 Speech 1697 | LO_DK-3poPg_130_140 2 10 Singing 1698 | 8h3tlcPyqwc_40_50 0 5 Basketball_bounce 1699 | 8h3tlcPyqwc_40_50 3 6 Cheering 1700 | Lpc7Ws6PSfg_2_12 0 10 Speech 1701 | Hky1DDrf23A_30_40 0 4 Cat 1702 | Hky1DDrf23A_30_40 6 9 Cat 1703 | Hky1DDrf23A_30_40 3 6 Speech 1704 | O0tHJP8wnRc_70_80 0 1 Speech 1705 | O0tHJP8wnRc_70_80 0 10 Singing 1706 | O0tHJP8wnRc_70_80 5 10 Clapping 1707 | 0qx_L11zBAY_30_40 0 10 Cello 1708 | 0qx_L11zBAY_30_40 0 10 Violin_fiddle 1709 | 9IfN8dUgGaQ_30_40 3 10 Chicken_rooster 1710 | 9IfN8dUgGaQ_30_40 4 10 Cat 1711 | 9IfN8dUgGaQ_30_40 0 10 Dog 1712 | 2yanV6gJNV0_0_10 0 8 Speech 1713 | 2yanV6gJNV0_0_10 0 10 Car 1714 | AGdT1gXPouk_200_210 0 4 Frying_(food) 1715 | DGeCOmJq0Ow_70_80 0 10 Acoustic_guitar 1716 | LxFenjME4NQ_0_10 0 10 Helicopter 1717 | LxFenjME4NQ_0_10 6 10 Speech 1718 | 4ANSBlG1pfs_60_70 0 10 Vacuum_cleaner 1719 | C0_NDX7DVd8_30_40 0 10 Speech 1720 | I--0mnbN4JI_10_20 0 3 Speech 1721 | I--0mnbN4JI_10_20 0 10 Lawn_mower 1722 | 7YChvLYpyUk_30_40 0 10 Cat 1723 | 7YChvLYpyUk_30_40 0 10 Dog 1724 | GpPcLJ0b40o_140_150 0 10 Singing 1725 | GpPcLJ0b40o_140_150 0 10 Banjo 1726 | GpPcLJ0b40o_140_150 0 10 Acoustic_guitar 1727 | 3MO-mchYrHA_30_40 0 2 Car 1728 | 3MO-mchYrHA_30_40 5 10 Car 1729 | Kw-PLfbmjvQ_30_40 0 10 Helicopter 1730 | 7y0E-IeaZBE_30_40 0 10 Chicken_rooster 1731 | CIx729pLHGk_30_40 0 10 Dog 1732 | H0j1eqsKVEw_120_130 0 10 Singing 1733 | 6PKKgaQgm1g_90_100 0 10 Chicken_rooster 1734 | Ek8XKK6LE6Y_30_40 0 10 Vacuum_cleaner 1735 | An2wy6lxaVQ_290_300 0 10 Singing 1736 | 0dVXlandefw_4_14 0 10 Car 1737 | FtvApi4UlEM_30_40 0 4 Singing 1738 | FtvApi4UlEM_30_40 0 4 Acoustic_guitar 1739 | FtvApi4UlEM_30_40 3 10 Clapping 1740 | CBAdaQsnfmQ_60_70 0 10 Singing 1741 | CBAdaQsnfmQ_60_70 0 10 Banjo 1742 | CBAdaQsnfmQ_60_70 0 10 Acoustic_guitar 1743 | FR0cOQrzaWQ_280_290 0 10 Acoustic_guitar 1744 | FR0cOQrzaWQ_280_290 9 10 Singing 1745 | OAzPNdL-wQI_480_490 0 10 Helicopter 1746 | Eo_FyQjui1k_10_20 0 10 Helicopter 1747 | OaJuXaA7tp8_30_40 0 10 Cello 1748 | OaJuXaA7tp8_30_40 0 10 Violin_fiddle 1749 | 4zPHNzZiZlU_280_290 0 10 Singing 1750 | 4zPHNzZiZlU_280_290 0 10 Acoustic_guitar 1751 | DiBzz6M9cUk_30_40 1 7 Cello 1752 | DiBzz6M9cUk_30_40 7 10 Violin_fiddle 1753 | 9H1fa9-f3q0_420_430 0 10 Frying_(food) 1754 | 9LloUO5C7do_50_60 0 10 Accordion 1755 | 3RIFPfcoHEM_20_30 4 10 Basketball_bounce 1756 | HJZUFlrj2xk_0_10 8 10 Motorcycle 1757 | 403Hzy9-EsY_550_560 7 10 Clapping 1758 | DwzBJ19O0CI_60_70 0 10 Dog 1759 | 78yrwc9y1ik_10_20 0 3 Baby_cry_infant_cry 1760 | 78yrwc9y1ik_10_20 8 10 Baby_cry_infant_cry 1761 | B_xS6aJj_Jc_30_40 0 10 Cheering 1762 | N6JTpk6UdgQ_30_40 0 10 Violin_fiddle 1763 | N6JTpk6UdgQ_30_40 0 1 Speech 1764 | N6JTpk6UdgQ_30_40 3 7 Speech 1765 | N6JTpk6UdgQ_30_40 8 10 Speech 1766 | D0kNXqg7Kcw_20_30 0 10 Chainsaw 1767 | GilJAJTcmo8_13_23 0 4 Baby_cry_infant_cry 1768 | EmJch5XooOQ_0_10 0 10 Vacuum_cleaner 1769 | LE3ux-hbUEg_160_170 0 10 Dog 1770 | CmjceF4lpVg_150_160 0 10 Helicopter 1771 | 7ECzsh5EkP8_30_40 0 10 Chicken_rooster 1772 | 55GEs-yyOXc_80_90 0 10 Basketball_bounce 1773 | O9d8Yg9H0BQ_30_40 3 10 Cello 1774 | O9d8Yg9H0BQ_30_40 3 10 Violin_fiddle 1775 | JRavR1Wdnp0_0_10 0 10 Baby_cry_infant_cry 1776 | 0lEavQUSRO4_410_420 0 10 Frying_(food) 1777 | 5eAw9Pp6dHk_260_270 0 10 Violin_fiddle 1778 | -3G-bs5JaW8_100_110 0 8 Vacuum_cleaner 1779 | FR4em-G3gfo_30_40 0 4 Vacuum_cleaner 1780 | FR4em-G3gfo_30_40 8 10 Vacuum_cleaner 1781 | FR4em-G3gfo_30_40 0 10 Cat 1782 | 0Ft06J1FdAo_420_430 0 10 Cheering 1783 | 7hspZOznOIM_0_10 4 10 Telephone_bell_ringing 1784 | AK9paigQCcA_70_80 0 10 Baby_laughter 1785 | FwODSWGmEdY_80_90 0 10 Dog 1786 | FwODSWGmEdY_80_90 0 1 Speech 1787 | FwODSWGmEdY_80_90 5 9 Speech 1788 | FwODSWGmEdY_80_90 0 5 Car 1789 | FHvhhlwmJ3A_20_30 0 10 Lawn_mower 1790 | AuxLUHyzMoQ_30_40 0 10 Dog 1791 | 3xgysBvOy6s_280_290 0 4 Clapping 1792 | 84OQA_JJHPY_390_400 0 10 Accordion 1793 | 9cwBZS6IoQE_29_39 0 10 Chicken_rooster 1794 | Jcn4AhTKLuk_120_130 0 10 Motorcycle 1795 | Jcn4AhTKLuk_120_130 7 10 Speech 1796 | Jcn4AhTKLuk_120_130 0 10 Car 1797 | KXZXHrLBpPo_350_360 0 2 Speech 1798 | KXZXHrLBpPo_350_360 0 10 Acoustic_guitar 1799 | 1NAoH6dROvo_30_40 0 10 Cheering 1800 | 0QXKGC5bXno_30_40 0 10 Cello 1801 | 0QXKGC5bXno_30_40 0 10 Violin_fiddle 1802 | GkjMWXHp0Ek_150_160 0 10 Blender 1803 | 5jKH6UTb7sw_30_40 0 10 Speech 1804 | 5jKH6UTb7sw_30_40 0 10 Acoustic_guitar 1805 | 5jKH6UTb7sw_30_40 0 10 Banjo 1806 | GEoZoRyYc1Q_90_100 0 1 Baby_laughter 1807 | GEoZoRyYc1Q_90_100 3 9 Baby_laughter 1808 | 6puZFsJvC64_70_80 0 10 Banjo 1809 | 6puZFsJvC64_70_80 0 10 Clapping 1810 | FXM8uAh3nS8_70_80 0 10 Chicken_rooster 1811 | J6cBf-yBto0_140_150 0 9 Blender 1812 | 7g3idUTE1KM_30_40 0 10 Speech 1813 | 7g3idUTE1KM_30_40 7 8 Clapping 1814 | DDVbCC9GbGE_50_60 0 10 Cheering 1815 | DDVbCC9GbGE_50_60 3 10 Singing 1816 | GY-a6Wh7o_g_60_70 0 10 Motorcycle 1817 | 8WLIDa9U9Ug_340_350 0 9 Violin_fiddle 1818 | 8WLIDa9U9Ug_340_350 9 10 Cello 1819 | AE4ZaQMa2BE_30_40 7 9 Chicken_rooster 1820 | OgMQvYOyH4s_30_40 0 10 Vacuum_cleaner 1821 | NHs8LJTwrRU_13_23 0 10 Baby_cry_infant_cry 1822 | 7USy-jxSsUg_30_40 0 9 Baby_cry_infant_cry 1823 | 3KwxaHZD2yU_220_230 0 10 Cheering 1824 | 3KwxaHZD2yU_220_230 2 4 Clapping 1825 | BrH-NJpiTOo_90_100 0 10 Chicken_rooster 1826 | F7CqvjjkHyA_30_40 0 10 Cat 1827 | KMEisCK2xjQ_30_40 0 10 Violin_fiddle 1828 | FdbtgaHTI9o_200_210 0 10 Helicopter 1829 | NBFMvfX_yWA_180_190 0 10 Violin_fiddle 1830 | NBFMvfX_yWA_180_190 0 10 Speech 1831 | ITP2x6GZGOw_180_190 0 10 Frying_(food) 1832 | 1RJsIRC9sVg_30_40 0 10 Car 1833 | IiOj18HpE8E_30_40 0 3 Chainsaw 1834 | 9_Pe-wbbehQ_10_20 0 10 Fire_alarm 1835 | 0l4rszJ8M9E_90_100 0 10 Banjo 1836 | 0l4rszJ8M9E_90_100 0 10 Violin_fiddle 1837 | 0iS6S7e_j8Q_20_30 4 10 Singing 1838 | Of_01ci6ErU_20_30 0 10 Dog 1839 | 3aO1wVxQhUk_590_600 0 4 Speech 1840 | 3aO1wVxQhUk_590_600 1 4 Cheering 1841 | 3aO1wVxQhUk_590_600 4 8 Clapping 1842 | 07QDI50hlec_50_60 0 1 Vacuum_cleaner 1843 | AMVvfK6Px8Y_280_290 0 10 Violin_fiddle 1844 | 9ui9IiwF6w8_180_190 0 10 Frying_(food) 1845 | OYnra-ve09E_30_40 0 10 Chicken_rooster 1846 | JurJCOlwHnI_30_40 0 10 Motorcycle 1847 | 7oPED09nVAk_100_110 0 3 Acoustic_guitar 1848 | 7oPED09nVAk_100_110 0 3 Singing 1849 | 7oPED09nVAk_100_110 7 10 Singing 1850 | Fdp9dfnaLuY_30_40 0 1 Violin_fiddle 1851 | Fdp9dfnaLuY_30_40 4 10 Violin_fiddle 1852 | 2U6WeaRLEds_140_150 0 10 Blender 1853 | 2U6WeaRLEds_140_150 2 5 Speech 1854 | 2U6WeaRLEds_140_150 6 8 Speech 1855 | 2U6WeaRLEds_140_150 9 10 Speech 1856 | A-PigXQWChs_30_40 0 10 Helicopter 1857 | 2UjAPgJudZU_100_110 0 10 Car 1858 | H74oGbW1sw8_10_20 7 9 Speech 1859 | 4sXCFq_FrPo_100_110 0 10 Speech 1860 | 7eO9zH2KCC4_30_40 0 10 Acoustic_guitar 1861 | 7eO9zH2KCC4_30_40 0 10 Violin_fiddle 1862 | B8CXFCBwBxs_540_550 0 10 Vacuum_cleaner 1863 | 050iiMJKE20_180_190 1 4 Helicopter 1864 | 050iiMJKE20_180_190 5 10 Chainsaw 1865 | 1ZDVv5aNQfk_30_40 0 10 Car 1866 | 5PRDmll4w5g_60_70 0 10 Frying_(food) 1867 | P6xxuZnRHXM_150_160 1 5 Singing 1868 | P6xxuZnRHXM_150_160 6 10 Singing 1869 | P6xxuZnRHXM_150_160 0 6 Acoustic_guitar 1870 | HuaiNWPbTFE_20_30 0 10 Chicken_rooster 1871 | 0gmLAVhaTKE_5_15 0 7 Car 1872 | Dk9Db7pUggU_120_130 0 10 Acoustic_guitar 1873 | Dk9Db7pUggU_120_130 0 1 Singing 1874 | Dk9Db7pUggU_120_130 1 3 Speech 1875 | Dk9Db7pUggU_120_130 4 7 Singing 1876 | Dk9Db7pUggU_120_130 6 8 Speech 1877 | Dk9Db7pUggU_120_130 9 10 Speech 1878 | 6dvq5W-9D04_30_40 0 10 Chicken_rooster 1879 | 12eWNawPekw_30_40 0 10 Helicopter 1880 | 12eWNawPekw_30_40 0 10 Car 1881 | 7Z9KzMO4hbM_180_190 1 5 Telephone_bell_ringing 1882 | 6pHtlOXBxTI_30_40 0 10 Cheering 1883 | A2k8DsBeCvc_40_50 0 10 Chicken_rooster 1884 | BHLdOTsouJw_30_40 0 10 Banjo 1885 | BHLdOTsouJw_30_40 0 8 Speech 1886 | F-TRR1Qgo9g_90_100 0 1 Basketball_bounce 1887 | F-TRR1Qgo9g_90_100 4 5 Basketball_bounce 1888 | F-TRR1Qgo9g_90_100 9 10 Basketball_bounce 1889 | BbDf0ZKc4zA_30_40 0 10 Dog 1890 | JHZgrp0pMaM_0_10 0 1 Vacuum_cleaner 1891 | JHZgrp0pMaM_0_10 2 10 Vacuum_cleaner 1892 | FpnKchSo3VE_160_170 0 10 Motorcycle 1893 | 1ypY7k2Biao_90_100 0 10 Accordion 1894 | 1ypY7k2Biao_90_100 1 8 Singing 1895 | 1ypY7k2Biao_90_100 7 10 Speech 1896 | DptWWXVlKHw_40_50 0 10 Fire_alarm 1897 | 530yiQ7x99E_570_580 0 10 Blender 1898 | CYwI2Yo3eYs_60_70 0 10 Motorcycle 1899 | NHPWU9bKcc4_210_220 0 10 Cello 1900 | NHPWU9bKcc4_210_220 0 10 Violin_fiddle 1901 | Ke5YRnqT94o_130_140 0 10 Vacuum_cleaner 1902 | 9osfCQTKjOY_70_80 0 1 Singing 1903 | 9osfCQTKjOY_70_80 2 10 Singing 1904 | DQ3ZFO2RP04_14_24 0 10 Dog 1905 | 2GfYNfKtpK0_30_40 0 10 Chainsaw 1906 | DHW0GEDee0k_20_30 0 10 Accordion 1907 | 35Id1r22ypE_30_40 0 10 Car 1908 | 9fcxPwWzDM0_30_40 0 10 Accordion 1909 | 0J3OzIVLnEI_50_60 0 10 Chicken_rooster 1910 | DgElEEFPRaE_570_580 0 10 Blender 1911 | H8_q1ovRwv8_90_100 0 10 Dog 1912 | 9dFgCv-R7i0_0_10 0 10 Dog 1913 | 0lpXFLNGM5E_130_140 0 10 Dog 1914 | 0bNb6oHg1_w_21_31 0 10 Car 1915 | 0T4gZQwzyKY_30_40 0 10 Cheering 1916 | 0T4gZQwzyKY_30_40 8 9 Clapping 1917 | EOeWgyrX-q8_30_40 0 10 Vacuum_cleaner 1918 | 4tnW9atZKo0_30_40 0 6 Cello 1919 | 4tnW9atZKo0_30_40 0 10 Violin_fiddle 1920 | 7Vfb0lpJkpU_50_60 0 5 Vacuum_cleaner 1921 | 7Vfb0lpJkpU_50_60 6 10 Vacuum_cleaner 1922 | FgCtqIgZlkU_30_40 0 10 Baby_cry_infant_cry 1923 | B4Q6N08yhp8_80_90 0 10 Vacuum_cleaner 1924 | B4Q6N08yhp8_80_90 2 4 Speech 1925 | B4Q6N08yhp8_80_90 8 9 Speech 1926 | 2VBTz0clX0U_60_70 0 10 Violin_fiddle 1927 | 2VBTz0clX0U_60_70 0 10 Cello 1928 | 2VBTz0clX0U_60_70 0 10 Singing 1929 | CghIWk1nhts_70_80 0 10 Singing 1930 | GtiLAXlEZvU_40_50 0 5 Acoustic_guitar 1931 | GtiLAXlEZvU_40_50 0 7 Singing 1932 | GtiLAXlEZvU_40_50 9 10 Singing 1933 | GxBAyAeGJFk_40_50 0 10 Singing 1934 | ArVDnCbQ6mU_30_40 0 10 Helicopter 1935 | 15qmhCMftso_70_80 0 10 Accordion 1936 | 15qmhCMftso_70_80 0 8 Violin_fiddle 1937 | Njs1QZwQ5jM_21_31 0 10 Baby_cry_infant_cry 1938 | Njs1QZwQ5jM_21_31 0 3 Dog 1939 | MTOS1YA9cjI_30_40 0 10 Baby_cry_infant_cry 1940 | MTOS1YA9cjI_30_40 1 6 Dog 1941 | MTOS1YA9cjI_30_40 7 10 Dog 1942 | 33SlPXN3NPk_0_10 0 10 Chainsaw 1943 | Mo-Z_28McaI_90_100 0 2 Baby_laughter 1944 | Mo-Z_28McaI_90_100 3 9 Baby_laughter 1945 | GB93d-uKICQ_310_320 0 10 Dog 1946 | KHeMI0Qmnqg_110_120 0 10 Vacuum_cleaner 1947 | KWqZGTZQUwA_110_120 0 10 Lawn_mower 1948 | 2Lg4zowpNxE_30_40 0 10 Vacuum_cleaner 1949 | A_rpqF8NTh8_40_50 0 10 Singing 1950 | 6mBfajqi1pg_560_570 0 10 Vacuum_cleaner 1951 | B4FiW4xiK0Q_30_40 0 10 Acoustic_guitar 1952 | B4FiW4xiK0Q_30_40 0 3 Speech 1953 | FC8HlNb6iFE_0_10 0 10 Motorcycle 1954 | 7Y0xgnuuFW4_21_31 1 2 Clapping 1955 | HJfi8BlRNYk_30_40 0 10 Helicopter 1956 | FwGq6BRGWns_40_50 0 10 Dog 1957 | 43JvH6ly2rc_240_250 0 10 Acoustic_guitar 1958 | 43JvH6ly2rc_240_250 4 10 Singing 1959 | GjoLR-sdj78_280_290 0 10 Acoustic_guitar 1960 | DR8HpVUhdbA_11_21 0 10 Motorcycle 1961 | Ae6pZjdGfRY_30_40 0 10 Chainsaw 1962 | -14BFlDzjS4_6_16 0 10 Car 1963 | Nh3YTYgtEJs_180_190 0 10 Acoustic_guitar 1964 | Nh3YTYgtEJs_180_190 0 6 Speech 1965 | Nh3YTYgtEJs_180_190 7 10 Speech 1966 | O1n-pt3waz8_30_40 0 8 Vacuum_cleaner 1967 | O1n-pt3waz8_30_40 9 10 Vacuum_cleaner 1968 | F9kNX3zLB04_6_16 0 10 Baby_cry_infant_cry 1969 | LAVr291jgR8_210_220 0 4 Speech 1970 | 5sXb7q-ek7I_60_70 0 10 Clapping 1971 | C1fKe7KDd3g_30_40 0 10 Cello 1972 | FB5g9CP-M6w_30_40 0 3 Speech 1973 | FB5g9CP-M6w_30_40 4 7 Speech 1974 | FB5g9CP-M6w_30_40 8 10 Speech 1975 | CDPXjPKsRMc_50_60 0 10 Dog 1976 | CDPXjPKsRMc_50_60 0 3 Speech 1977 | CDPXjPKsRMc_50_60 7 10 Speech 1978 | C9dQ03e94ig_30_40 0 10 Motorcycle 1979 | 1BgsmndYANA_27_37 0 10 Car 1980 | GsNgBm53CGw_250_260 0 10 Acoustic_guitar 1981 | GsNgBm53CGw_250_260 0 2 Speech 1982 | GsNgBm53CGw_250_260 3 10 Speech 1983 | 0eAGbJEQhJ8_0_10 0 10 Car 1984 | 1Qcxwho5ZLQ_30_40 0 10 Accordion 1985 | A_ehwKZ-sBc_0_10 0 10 Dog 1986 | EMDr5DqtfwY_30_40 1 10 Helicopter 1987 | 6-2SCYUDBZw_30_40 0 10 Vacuum_cleaner 1988 | CVti4WjWXcQ_30_40 0 10 Vacuum_cleaner 1989 | H-zboGVCulQ_250_260 0 8 Singing 1990 | 6bmJLRXrH-g_11_21 0 7 Telephone_bell_ringing 1991 | 0oUbMWJgokM_170_180 0 10 Frying_(food) 1992 | J8sZgIgUv6A_30_40 2 10 Violin_fiddle 1993 | EWA0puztuCE_50_60 0 10 Helicopter 1994 | 2NRDi8g-6Qk_200_210 0 5 Fire_alarm 1995 | 5XPkYYaXgLc_230_240 2 4 Basketball_bounce 1996 | 5XPkYYaXgLc_230_240 5 6 Basketball_bounce 1997 | OTattrwc_Qc_300_310 0 1 Basketball_bounce 1998 | OTattrwc_Qc_300_310 5 7 Basketball_bounce 1999 | OTattrwc_Qc_300_310 9 10 Basketball_bounce 2000 | OTattrwc_Qc_300_310 0 3 Speech 2001 | OTattrwc_Qc_300_310 5 6 Speech 2002 | Hn5l7jGoTuc_100_110 0 10 Singing 2003 | 54Ool76D12Q_70_80 0 7 Vacuum_cleaner 2004 | 54Ool76D12Q_70_80 9 10 Vacuum_cleaner 2005 | EuWGmg8MBxw_160_170 0 10 Dog 2006 | B47e2vDCzgI_50_60 0 10 Cello 2007 | B47e2vDCzgI_50_60 0 10 Violin_fiddle 2008 | 4-b0IdcVTqw_20_30 0 10 Cheering 2009 | B6qzrmrFOms_100_110 5 10 Singing 2010 | 2macpFUgV7g_70_80 0 3 Fire_alarm 2011 | CmzO2WG_rK4_10_20 4 7 Helicopter 2012 | CmzO2WG_rK4_10_20 8 10 Helicopter 2013 | MT0Bxc0nkLc_120_130 0 10 Dog 2014 | 6m9RSmLeC6M_40_50 0 10 Fire_alarm 2015 | IGPYTFL2vd4_20_30 0 10 Motorcycle 2016 | 9qeBzzC27PE_300_310 0 6 Lawn_mower 2017 | HaFqd2SZezE_20_30 0 10 Dog 2018 | BaUfQOf2U6w_110_120 0 10 Acoustic_guitar 2019 | -0bNnlJmBM0_30_40 0 10 Chicken_rooster 2020 | IUuUEvOBMIs_140_150 0 10 Violin_fiddle 2021 | EaYQInm5Q14_240_250 0 10 Cello 2022 | EaYQInm5Q14_240_250 0 10 Violin_fiddle 2023 | 0ioAyzjtiZI_30_40 0 10 Car 2024 | JIT9v30weXs_20_30 0 10 Dog 2025 | 7mrVq35XPrk_330_340 0 10 Vacuum_cleaner 2026 | M2UMpS30jRA_30_40 0 10 Baby_cry_infant_cry 2027 | DmfGwmAWqK0_210_220 0 8 Basketball_bounce 2028 | 8yZnLF45mgs_100_110 3 10 Singing 2029 | I35Xp8ugqj4_30_40 0 2 Speech 2030 | I35Xp8ugqj4_30_40 0 10 Violin_fiddle 2031 | 7uXeXKxHQ6A_300_310 0 8 Lawn_mower 2032 | M0viHJ8hTxE_70_80 6 7 Basketball_bounce 2033 | LFW5265aG4w_30_40 0 10 Car 2034 | OaXr8Ns_o9g_80_90 0 10 Vacuum_cleaner 2035 | GXdiEb8fkVQ_30_40 0 10 Accordion 2036 | Fg765IwFFms_50_60 0 10 Vacuum_cleaner 2037 | NTFPgBw8PlU_18_28 0 6 Baby_cry_infant_cry 2038 | AfBK1v5Llss_8_18 0 10 Violin_fiddle 2039 | BkuBZMpG9XU_120_130 0 10 Singing 2040 | E4ZkcNYUHfg_210_220 0 6 Singing 2041 | E4ZkcNYUHfg_210_220 0 1 Clapping 2042 | E4ZkcNYUHfg_210_220 2 6 Clapping 2043 | E4ZkcNYUHfg_210_220 6 10 Speech 2044 | 5IDCyA2GDgs_30_40 0 10 Blender 2045 | E6vpA7p7ebI_190_200 0 10 Helicopter 2046 | IGaYfRj5dJQ_460_470 0 10 Cheering 2047 | IGaYfRj5dJQ_460_470 0 10 Speech 2048 | IGaYfRj5dJQ_460_470 0 10 Clapping 2049 | OUoplkiyF54_30_40 0 10 Acoustic_guitar 2050 | OUoplkiyF54_30_40 0 10 Violin_fiddle 2051 | DEJPptjl7KA_23_33 0 10 Baby_cry_infant_cry 2052 | FE0C4xy3YRo_30_40 0 2 Speech 2053 | FE0C4xy3YRo_30_40 3 6 Speech 2054 | FE0C4xy3YRo_30_40 0 10 Violin_fiddle 2055 | FE0C4xy3YRo_30_40 0 3 Cello 2056 | FE0C4xy3YRo_30_40 7 10 Banjo 2057 | LrWwi0-wcrg_30_40 0 10 Chainsaw 2058 | N8o5qLz5974_10_20 0 10 Dog 2059 | Bd2nhNf9Tp8_240_250 0 10 Vacuum_cleaner 2060 | JZ82xaUBcIY_470_480 0 10 Fire_alarm 2061 | NAkYzdSLN44_30_40 0 1 Basketball_bounce 2062 | 5Ut2Ji8FdMw_30_40 0 10 Cheering 2063 | IAq7bVGH_zg_90_100 0 2 Singing 2064 | IAq7bVGH_zg_90_100 1 3 Speech 2065 | IAq7bVGH_zg_90_100 3 10 Singing 2066 | HLSZ-Me0hgg_510_520 8 10 Basketball_bounce 2067 | J_uk2QJ9T_M_190_200 3 6 Speech 2068 | J_uk2QJ9T_M_190_200 0 2 Speech 2069 | J_uk2QJ9T_M_190_200 7 10 Motorcycle 2070 | J_uk2QJ9T_M_190_200 7 10 Car 2071 | 48iqWuaAkSU_140_150 0 10 Violin_fiddle 2072 | 6TRJu1kHIJY_10_20 0 10 Helicopter 2073 | IwpvkdsO12s_230_240 0 10 Frying_(food) 2074 | E3bKVGHsA7I_30_40 0 10 Baby_cry_infant_cry 2075 | KW2B-Rv8bjs_30_40 0 10 Cat 2076 | Hln9D0soCes_420_430 0 10 Banjo 2077 | Ki5FZjVfs7s_190_200 0 10 Dog 2078 | JCVDz4BeWTg_30_40 0 10 Violin_fiddle 2079 | 8OHjU9PCt7Y_0_10 0 4 Basketball_bounce 2080 | L_NiIDd9qQQ_110_120 0 10 Dog 2081 | L_NiIDd9qQQ_110_120 0 1 Speech 2082 | L_NiIDd9qQQ_110_120 2 4 Speech 2083 | L_NiIDd9qQQ_110_120 5 7 Speech 2084 | IN_sIxaaRsY_380_390 0 10 Cat 2085 | 3kUHtnaD2-Y_0_10 0 1 Basketball_bounce 2086 | Mte4VJKUkWQ_240_250 0 10 Cello 2087 | Mte4VJKUkWQ_240_250 0 2 Singing 2088 | Mte4VJKUkWQ_240_250 5 10 Singing 2089 | LbVxnuv3Ebw_130_140 0 10 Motorcycle 2090 | 3-Zuj5gO60g_5_15 0 10 Dog 2091 | 3zWX4iDWwTE_30_40 0 10 Speech 2092 | 3zWX4iDWwTE_30_40 4 10 Basketball_bounce 2093 | H1u4PtqVFMg_370_380 0 10 Speech 2094 | BUq7YBMxHc4_30_40 0 10 Dog 2095 | HzzJAWWJ-pQ_30_40 0 10 Violin_fiddle 2096 | DAF5KEULuGo_230_240 0 10 Motorcycle 2097 | DZb5LThmhQw_30_40 0 10 Violin_fiddle 2098 | Im1UwtffSmY_30_40 0 10 Dog 2099 | 2QB4g9ZeJmw_60_70 0 10 Cheering 2100 | 2QB4g9ZeJmw_60_70 0 10 Clapping 2101 | GKZvKWwrDcE_30_40 0 1 Clapping 2102 | GKZvKWwrDcE_30_40 2 3 Clapping 2103 | GKZvKWwrDcE_30_40 4 5 Clapping 2104 | GKZvKWwrDcE_30_40 7 8 Clapping 2105 | GKZvKWwrDcE_30_40 9 10 Clapping 2106 | GKZvKWwrDcE_30_40 0 1 Speech 2107 | GKZvKWwrDcE_30_40 2 3 Speech 2108 | GKZvKWwrDcE_30_40 4 6 Speech 2109 | GKZvKWwrDcE_30_40 7 10 Speech 2110 | 8H9V40ek4q8_30_40 0 10 Violin_fiddle 2111 | CwUtBoBqSYY_30_40 1 10 Helicopter 2112 | Kqjqdx-jfMw_180_190 0 10 Blender 2113 | BLi6DZmr_fU_30_40 0 10 Dog 2114 | Nox8PbNaydY_60_70 1 7 Singing 2115 | AyZOG94lAXc_10_20 0 10 Dog 2116 | AUuZYQpKvPE_80_90 0 10 Baby_laughter 2117 | FKjHrCvqJL0_170_180 0 10 Singing 2118 | EuQ6qqoAdUE_290_300 0 10 Blender 2119 | 9D5aLKo92Sw_160_170 0 10 Chicken_rooster 2120 | 06xprMsre2M_80_90 0 10 Blender 2121 | 2vqn1vRl-No_30_40 0 10 Chainsaw 2122 | GTrzjZECYKI_50_60 0 10 Accordion 2123 | GTrzjZECYKI_50_60 3 10 Singing 2124 | 6Ix6axuXbnA_470_480 0 10 Vacuum_cleaner 2125 | 9nwPHX0NlUQ_30_40 0 6 Speech 2126 | 9nwPHX0NlUQ_30_40 0 10 Accordion 2127 | Dk4YYDzk6v4_140_150 2 10 Singing 2128 | It4a2G-gbPQ_40_50 0 10 Acoustic_guitar 2129 | AV-l8lEdUvI_30_40 0 10 Chicken_rooster 2130 | GIo3jkn2bt0_30_40 1 5 Speech 2131 | GIo3jkn2bt0_30_40 7 9 Violin_fiddle 2132 | 6SgzzYG-B1Q_30_40 0 10 Chicken_rooster 2133 | 41TTeZMRpzs_30_40 0 10 Dog 2134 | 41TTeZMRpzs_30_40 0 4 Vacuum_cleaner 2135 | OOw5CoIgV00_30_40 0 8 Violin_fiddle 2136 | OOw5CoIgV00_30_40 4 6 Accordion 2137 | ElcySYXYtew_10_20 0 10 Acoustic_guitar 2138 | ElcySYXYtew_10_20 0 4 Singing 2139 | NIlaWJiRnOQ_19_29 0 3 Frying_(food) 2140 | NIlaWJiRnOQ_19_29 2 10 Speech 2141 | EMsdkma5MU8_30_40 0 10 Vacuum_cleaner 2142 | LGeLv_bEBSA_420_430 0 10 Cello 2143 | LGeLv_bEBSA_420_430 0 10 Violin_fiddle 2144 | 3dKj3OZw7OY_60_70 0 10 Basketball_bounce 2145 | LNGPfZsCqKY_18_28 0 10 Helicopter 2146 | 435H0Ai36E4_40_50 0 10 Dog 2147 | 435H0Ai36E4_40_50 0 10 Vacuum_cleaner 2148 | BtjZjdUqzvY_4_14 0 9 Chainsaw 2149 | 0_MLIPfb84s_30_40 0 10 Violin_fiddle 2150 | 0_MLIPfb84s_30_40 0 10 Acoustic_guitar 2151 | K4SxwnI3EE4_70_80 5 7 Speech 2152 | K4SxwnI3EE4_70_80 0 10 Dog 2153 | LH_cTOUJPhU_330_340 0 10 Blender 2154 | 9w88_e0QLIw_30_40 0 10 Violin_fiddle 2155 | BbB_Gks17K0_50_60 0 10 Fire_alarm 2156 | CxtwZM-7k1M_80_90 0 4 Motorcycle 2157 | CxtwZM-7k1M_80_90 5 10 Motorcycle 2158 | AO15xf8M-N0_20_30 0 10 Dog 2159 | BXVhuHTAels_100_110 0 4 Speech 2160 | BXVhuHTAels_100_110 0 10 Acoustic_guitar 2161 | 5FmalezMAls_13_23 0 10 Cheering 2162 | Kqa-iC4cuMs_370_380 6 10 Vacuum_cleaner 2163 | 7rYjAdnb3CA_20_30 2 5 Speech 2164 | 7rYjAdnb3CA_20_30 0 10 Car 2165 | 1TzFK50oG_g_0_10 0 10 Car 2166 | KL4uiNB7lMA_150_160 0 10 Vacuum_cleaner 2167 | NDcJ3G22W0w_60_70 1 2 Basketball_bounce 2168 | NDcJ3G22W0w_60_70 7 9 Basketball_bounce 2169 | FTA0TnNtGlM_10_20 5 8 Fire_alarm 2170 | BYEYNxKvij4_70_80 0 4 Singing 2171 | BYEYNxKvij4_70_80 6 10 Singing 2172 | BYEYNxKvij4_70_80 0 10 Cello 2173 | BYEYNxKvij4_70_80 0 10 Acoustic_guitar 2174 | E509105txOk_130_140 0 10 Helicopter 2175 | EDJ-vOyHFNE_20_30 1 4 Speech 2176 | EDJ-vOyHFNE_20_30 9 10 Speech 2177 | EDJ-vOyHFNE_20_30 0 10 Clapping 2178 | JKdmCnXxlKA_30_40 0 10 Chainsaw 2179 | EbB_904ZztM_150_160 0 10 Acoustic_guitar 2180 | 1FkR8wkSGU8_30_40 0 10 Car 2181 | KFNee9YkgVI_17_27 0 10 Baby_cry_infant_cry 2182 | 1DqXuuPiPho_240_250 0 2 Singing 2183 | 1DqXuuPiPho_240_250 3 7 Singing 2184 | 1DqXuuPiPho_240_250 0 10 Violin_fiddle 2185 | Cg6Rryw1zls_140_150 0 10 Cello 2186 | LlWf9r1ziZk_30_40 0 10 Violin_fiddle 2187 | LlWf9r1ziZk_30_40 2 10 Speech 2188 | 3v7q1xTR2LQ_30_40 0 10 Baby_cry_infant_cry 2189 | Gb2iX2TZ5v8_290_300 0 10 Frying_(food) 2190 | BAYF00tB5mA_0_10 0 5 Baby_laughter 2191 | AIN9E2dwVtg_30_40 9 10 Speech 2192 | J1SkRrovroE_170_180 1 3 Basketball_bounce 2193 | MoZc4IsdhiU_20_30 0 10 Helicopter 2194 | KXumlH_SF5Y_100_110 0 10 Helicopter 2195 | CFODHCyurtc_140_150 0 10 Acoustic_guitar 2196 | CFODHCyurtc_140_150 0 10 Accordion 2197 | EdSlrD3HGk8_110_120 0 10 Dog 2198 | 5er9MoTAogc_10_20 0 10 Baby_cry_infant_cry 2199 | LDXGQBKnIkU_14_24 0 10 Lawn_mower 2200 | DJDxBH4Bb2I_100_110 0 2 Basketball_bounce 2201 | DJDxBH4Bb2I_100_110 4 5 Basketball_bounce 2202 | DJDxBH4Bb2I_100_110 0 5 Speech 2203 | H0EAcUmwbMs_30_40 0 10 Accordion 2204 | 3IVP5Gna8sI_30_40 0 10 Car 2205 | ID7NdijmMvE_90_100 0 10 Cello 2206 | ID7NdijmMvE_90_100 0 10 Banjo 2207 | ID7NdijmMvE_90_100 0 10 Acoustic_guitar 2208 | J3YTzD0N_kw_20_30 0 1 Speech 2209 | J3YTzD0N_kw_20_30 1 10 Singing 2210 | EikptOF21-s_30_40 0 10 Cat 2211 | K-_lKMeitkU_200_210 0 3 Speech 2212 | K-_lKMeitkU_200_210 0 10 Blender 2213 | 5Q2UcVku9-E_150_160 0 10 Vacuum_cleaner 2214 | 14ekd4nkpwc_28_38 0 9 Baby_cry_infant_cry 2215 | NZVSQRzo48o_30_40 0 1 Violin_fiddle 2216 | NZVSQRzo48o_30_40 1 10 Speech 2217 | CSuoHEFbWVs_100_110 0 10 Violin_fiddle 2218 | 2jzZGsHGIGg_30_40 0 10 Motorcycle 2219 | 2jzZGsHGIGg_30_40 2 7 Car 2220 | 2jzZGsHGIGg_30_40 9 10 Car 2221 | Msme_HbKIik_30_40 0 10 Accordion 2222 | DhFVH7Dvz8A_30_40 0 10 Helicopter 2223 | Gtyp2DtLehs_10_20 0 10 Cat 2224 | GgiYd4ZgsQA_50_60 0 10 Dog 2225 | Dr4GrylmP9M_390_400 4 10 Telephone_bell_ringing 2226 | L-42QHWGyJU_370_380 0 1 Basketball_bounce 2227 | L-42QHWGyJU_370_380 2 3 Basketball_bounce 2228 | 5JFecNRvbog_150_160 0 10 Lawn_mower 2229 | 8jSXancacwQ_30_40 0 10 Lawn_mower 2230 | EE6x3fRHk7M_20_30 0 10 Dog 2231 | 0sqE1PT9w4E_0_10 9 10 Singing 2232 | CKexU9L_lpE_20_30 0 10 Helicopter 2233 | GmxS8d0B1QE_20_30 0 10 Dog 2234 | 3-BAZ9IRM1s_530_540 0 10 Vacuum_cleaner 2235 | KbeILnzvciI_30_40 0 10 Violin_fiddle 2236 | KbeILnzvciI_30_40 5 10 Speech 2237 | 2UuUxUmhugo_0_10 0 10 Chainsaw 2238 | 29-VHfXrz7E_30_40 0 10 Cat 2239 | KaNCiByIxx0_130_140 0 10 Chicken_rooster 2240 | 1FlvObIkYvo_10_20 0 10 Car 2241 | 31iv4K9G_4E_30_40 0 10 Car 2242 | HlFvWY0asH4_40_50 0 6 Basketball_bounce 2243 | 1cpo-8IgL2c_120_130 6 10 Cheering 2244 | 1cpo-8IgL2c_120_130 6 10 Clapping 2245 | Eoc5RJc83Iw_60_70 0 10 Motorcycle 2246 | NorHGeReG2s_10_20 0 5 Speech 2247 | NorHGeReG2s_10_20 7 10 Singing 2248 | BzwjKmH0J-o_130_140 0 10 Singing 2249 | 0yleWcyPyx0_210_220 0 10 Lawn_mower 2250 | 00v4G1YbJAE_30_40 0 10 Lawn_mower 2251 | LfJH5_vbZuk_170_180 3 10 Cat 2252 | DwUr_EwHswo_40_50 0 2 Singing 2253 | DwUr_EwHswo_40_50 3 9 Singing 2254 | B3yC2M_tgHQ_30_40 0 10 Lawn_mower 2255 | B3yC2M_tgHQ_30_40 5 8 Speech 2256 | 6FviyjRjgnc_60_70 8 10 Speech 2257 | K4CrCEHGnwU_10_20 0 10 Dog 2258 | BO7DUflFfIc_30_40 0 2 Cat 2259 | BO7DUflFfIc_30_40 5 10 Cat 2260 | EybwVFGORSo_370_380 7 10 Fire_alarm 2261 | -7yHd8yVL7o_10_20 0 10 Car 2262 | I3nMKP3u2Wc_30_40 0 10 Helicopter 2263 | ICNjHa1pF0g_80_90 5 6 Basketball_bounce 2264 | 6EeyngaELKA_0_10 6 10 Blender 2265 | KV4CpfKk7FY_30_40 0 10 Speech 2266 | KV4CpfKk7FY_30_40 0 10 Acoustic_guitar 2267 | CJ81qB9p4UM_30_40 0 5 Cheering 2268 | CJ81qB9p4UM_30_40 8 10 Cheering 2269 | 585sVgKWYHg_130_140 0 10 Blender 2270 | J7H-6clOB-M_0_10 5 10 Singing 2271 | J7H-6clOB-M_0_10 5 10 Acoustic_guitar 2272 | AAcHfp8Ls9c_30_40 0 10 Acoustic_guitar 2273 | 37whM1O5Yy4_130_140 4 5 Basketball_bounce 2274 | KMhuOpxiU5Y_0_10 0 5 Dog 2275 | KMhuOpxiU5Y_0_10 6 10 Dog 2276 | KMhuOpxiU5Y_0_10 1 2 Speech 2277 | BP4Z8KmDLHw_25_35 0 10 Chicken_rooster 2278 | Gus-voUdc1U_30_40 0 10 Accordion 2279 | GREbxPMiiFU_30_40 0 10 Violin_fiddle 2280 | MqMKjrKRXmI_30_40 0 10 Baby_cry_infant_cry 2281 | -2YWkWhIVtQ_30_40 0 10 Car 2282 | DD0iSzxHJ_Q_0_10 3 6 Helicopter 2283 | DD0iSzxHJ_Q_0_10 7 8 Helicopter 2284 | FbcZx5syfXE_0_10 3 10 Helicopter 2285 | AuM1rU__KQA_360_370 0 10 Blender 2286 | P5wB7xTZRR8_130_140 0 2 Singing 2287 | 8DF2PxdT5tE_390_400 2 8 Basketball_bounce 2288 | 8DF2PxdT5tE_390_400 7 8 Speech 2289 | 8DF2PxdT5tE_390_400 9 10 Speech 2290 | NokSF2SXqA8_30_40 0 1 Speech 2291 | NokSF2SXqA8_30_40 4 9 Speech 2292 | NokSF2SXqA8_30_40 1 5 Violin_fiddle 2293 | 20ysZc0Bp5o_10_20 0 10 Chicken_rooster 2294 | 8hcEJYEwAME_0_10 0 10 Chicken_rooster 2295 | OJjDafCVsP4_70_80 0 10 Dog 2296 | FRzVTWTQyI8_50_60 0 10 Dog 2297 | 2jQwv1d0DyU_30_40 0 10 Vacuum_cleaner 2298 | FbJMtOawkAo_20_30 0 2 Cat 2299 | FbJMtOawkAo_20_30 4 10 Cat 2300 | 7OhK3f4X1VQ_7_17 0 5 Car 2301 | 19jWnmYnlD8_30_40 0 10 Violin_fiddle 2302 | 19jWnmYnlD8_30_400 0 10 Clapping 2303 | KZbA2DuNLYM_23_33 2 10 Baby_cry_infant_cry 2304 | 7LVqHbJ6N1E_90_100 0 7 Helicopter 2305 | 7LVqHbJ6N1E_90_100 8 10 Helicopter 2306 | 7LVqHbJ6N1E_90_100 0 8 Car 2307 | FGnW2s4nrYU_60_70 0 6 Clapping 2308 | 12-uDhDhWOk_30_40 0 10 Car 2309 | Hd4Lrewto7Q_20_30 0 10 Accordion 2310 | IvxMdjfSvQQ_12_22 0 10 Baby_cry_infant_cry 2311 | GMbYPPN6SNk_90_100 0 10 Cello 2312 | GMbYPPN6SNk_90_100 0 10 Violin_fiddle 2313 | KZhSh9lwAoI_20_30 0 10 Baby_laughter 2314 | KCOHsYmUa20_190_200 0 4 Accordion 2315 | KCOHsYmUa20_190_200 7 10 Accordion 2316 | KCOHsYmUa20_190_200 7 10 Acoustic_guitar 2317 | 2jb3oGyRnWg_30_40 0 10 Car 2318 | MZVInVyY90o_20_30 0 10 Lawn_mower 2319 | 0mKRXJhlMb0_120_130 0 10 Chicken_rooster 2320 | I6Drk3QmQn8_60_70 0 5 Dog 2321 | I6Drk3QmQn8_60_70 7 10 Dog 2322 | CN8vnC7zyhw_220_230 0 10 Dog 2323 | GBJGRSP2JFg_20_30 0 4 Speech 2324 | 6KfCKGRBxRc_30_40 0 4 Singing 2325 | 6KfCKGRBxRc_30_40 6 9 Singing 2326 | -7tDh-UQR7Q_50_60 0 4 Cello 2327 | -7tDh-UQR7Q_50_60 0 4 Violin_fiddle 2328 | -7tDh-UQR7Q_50_60 1 10 Singing 2329 | M7mcD0npbjI_50_60 1 5 Basketball_bounce 2330 | 99WdRkgJC1Y_140_150 0 10 Chicken_rooster 2331 | IzJtqrr3_4o_30_40 0 10 Chainsaw 2332 | GG5XSsexHGk_370_380 0 6 Fire_alarm 2333 | GG5XSsexHGk_370_380 7 10 Fire_alarm 2334 | BbiDC4kHcpY_0_10 0 10 Cello 2335 | BbiDC4kHcpY_0_10 0 10 Violin_fiddle 2336 | DG2eXe5Xrp0_30_40 0 10 Violin_fiddle 2337 | DG2eXe5Xrp0_30_40 0 10 Clapping 2338 | DG2eXe5Xrp0_30_40 0 10 Acoustic_guitar 2339 | M_Bk6sPg7O4_10_20 0 10 Dog 2340 | 4bSKwakkWIE_0_10 0 10 Chicken_rooster 2341 | 14xiJ2TAfI0_430_440 0 6 Speech 2342 | Np6XrFtNBY4_160_170 0 10 Dog 2343 | NM6U_DyP_0o_30_40 0 10 Frying_(food) 2344 | CVV6bhSYphc_550_560 0 10 Frying_(food) 2345 | Ow2ooQlgGV4_420_430 0 3 Chainsaw 2346 | 84vFdTtO2Vk_10_20 0 10 Dog 2347 | 84vFdTtO2Vk_10_20 1 2 Speech 2348 | 84vFdTtO2Vk_10_20 9 10 Speech 2349 | MvlIx9Dlf7U_180_190 0 10 Blender 2350 | 6pw5sDsjCio_100_110 0 6 Vacuum_cleaner 2351 | 6BwASiY-tzU_21_31 0 10 Baby_cry_infant_cry 2352 | 7MXZvu6cjuU_90_100 0 1 Speech 2353 | 7MXZvu6cjuU_90_100 0 1 Basketball_bounce 2354 | 7MXZvu6cjuU_90_100 3 5 Basketball_bounce 2355 | 7MXZvu6cjuU_90_100 5 8 Speech 2356 | 7MXZvu6cjuU_90_100 9 10 Speech 2357 | E5mV1b1ol6Y_0_10 0 4 Singing 2358 | E5mV1b1ol6Y_0_10 9 10 Singing 2359 | 0AuRaeswC-8_20_30 0 10 Chicken_rooster 2360 | 9jS1INXlQ1w_160_170 0 4 Singing 2361 | 9jS1INXlQ1w_160_170 0 10 Acoustic_guitar 2362 | 9jS1INXlQ1w_160_170 5 7 Clapping 2363 | 1uy12CfHhDk_170_180 0 10 Acoustic_guitar 2364 | OHMoNFP6n9g_20_30 0 3 Chicken_rooster 2365 | OHMoNFP6n9g_20_30 5 10 Chicken_rooster 2366 | BQmyfqCv4bc_40_50 0 3 Speech 2367 | BQmyfqCv4bc_40_50 6 9 Speech 2368 | BQmyfqCv4bc_40_50 0 10 Acoustic_guitar 2369 | 0hE-lduyMng_150_160 0 10 Frying_(food) 2370 | HUrt-wFxTEY_50_60 0 10 Baby_cry_infant_cry 2371 | 1TsbyCeoZ_E_30_40 0 10 Car 2372 | 9xszRnKqoTU_270_280 0 7 Speech 2373 | 9xszRnKqoTU_270_280 7 10 Singing 2374 | CizC7WKKPjQ_30_40 0 10 Violin_fiddle 2375 | 3c70Lv8GH48_90_100 0 10 Acoustic_guitar 2376 | 3c70Lv8GH48_90_100 0 4 Singing 2377 | Bvp91I4IJok_30_40 0 10 Acoustic_guitar 2378 | 9NolcbOJZQo_30_40 0 4 Basketball_bounce 2379 | 6Kj5byQcQ10_40_50 1 4 Speech 2380 | 6Kj5byQcQ10_40_50 5 7 Speech 2381 | 4ejLeuJcmoQ_25_35 0 10 Helicopter 2382 | DsBUJquZ6po_0_10 0 10 Singing 2383 | EI9OD8CKoYY_20_30 0 10 Chicken_rooster 2384 | GJHdLtKI37w_10_20 0 10 Chicken_rooster 2385 | ATecKAA7Ydc_130_140 0 10 Chicken_rooster 2386 | Mc79pRPTjXw_10_20 0 10 Dog 2387 | 74rZ_mljj18_90_100 6 9 Basketball_bounce 2388 | 3oZLoVYIHFQ_50_60 0 3 Vacuum_cleaner 2389 | 3oZLoVYIHFQ_50_60 5 7 Vacuum_cleaner 2390 | 3oZLoVYIHFQ_50_60 9 10 Vacuum_cleaner 2391 | KGxvfuRj444_160_170 0 2 Cat 2392 | FoTOD4HkfAM_30_40 0 5 Baby_cry_infant_cry 2393 | FoTOD4HkfAM_30_40 8 10 Baby_cry_infant_cry 2394 | EUtpm8jPQes_0_10 0 10 Blender 2395 | 3ERn2kwnfA4_2_12 0 10 Car 2396 | 0kWsQAObBjo_30_40 0 10 Cheering 2397 | 0kWsQAObBjo_30_40 0 10 Speech 2398 | 0kWsQAObBjo_30_40 0 10 Clapping 2399 | 2OJw3xGALI4_60_70 0 10 Vacuum_cleaner 2400 | CoU--V817p4_40_50 0 1 Baby_laughter 2401 | CoU--V817p4_40_50 2 6 Baby_laughter 2402 | CoU--V817p4_40_50 6 8 Speech 2403 | NjIY8G7o-cI_120_130 0 10 Helicopter 2404 | 0A-Y2CvbVMs_30_40 0 10 Accordion 2405 | DSwEi6cwPjM_170_180 0 10 Cello 2406 | L2zidDxyBjw_220_230 0 10 Accordion 2407 | 2i82jVZy1pk_100_110 4 8 Baby_laughter 2408 | KxJCFboTYeU_60_70 0 10 Chicken_rooster 2409 | 8a4Zec3h3LM_30_40 0 10 Vacuum_cleaner 2410 | B4emRH8vbWQ_10_20 0 10 Helicopter 2411 | BTrSKQ9EI4o_0_10 0 10 Acoustic_guitar 2412 | 1BPMaFuSk5Y_12_22 0 9 Car 2413 | 39KgkK23Zmk_0_10 0 3 Speech 2414 | 39KgkK23Zmk_0_10 4 9 Speech 2415 | 39KgkK23Zmk_0_10 0 10 Cello 2416 | 39KgkK23Zmk_0_10 0 10 Banjo 2417 | 39KgkK23Zmk_0_10 0 10 Acoustic_guitar 2418 | 3zt3Z3qEJvw_110_120 4 5 Basketball_bounce 2419 | 3zt3Z3qEJvw_110_120 6 10 Speech 2420 | 7SChBv97cmg_10_20 0 10 Chainsaw 2421 | 9WzF78LNQYQ_180_190 1 6 Telephone_bell_ringing 2422 | 9WzF78LNQYQ_180_190 9 10 Telephone_bell_ringing 2423 | 9WzF78LNQYQ_180_190 4 5 Speech 2424 | 0F2XPtG9pJM_30_40 2 10 Violin_fiddle 2425 | 7Iwu2gczI1g_540_550 0 10 Helicopter 2426 | HHO8LjlRIf4_30_40 0 10 Cat 2427 | HHO8LjlRIf4_30_40 0 10 Dog 2428 | JgZCSNt7s2I_17_27 0 10 Violin_fiddle 2429 | JgZCSNt7s2I_17_27 5 7 Speech 2430 | NkXfDQE9P70_50_60 0 10 Dog 2431 | GzXz1u955mo_170_180 0 10 Acoustic_guitar 2432 | Dx4O21IPz1c_80_90 0 10 Singing 2433 | KHv3w-UiXeQ_20_30 0 10 Dog 2434 | 8eR5kuvbjKA_30_40 0 10 Singing 2435 | 2dih3AAlObo_10_20 1 2 Basketball_bounce 2436 | 2dih3AAlObo_10_20 4 5 Basketball_bounce 2437 | 2dih3AAlObo_10_20 6 7 Basketball_bounce 2438 | 1XaDmkM-AAw_150_160 0 10 Acoustic_guitar 2439 | 1XaDmkM-AAw_150_160 0 10 Violin_fiddle 2440 | 7zAZVwxH9PM_550_560 1 4 Basketball_bounce 2441 | 7zAZVwxH9PM_550_560 8 10 Basketball_bounce 2442 | NmpQX6IohMY_140_150 0 10 Acoustic_guitar 2443 | NmpQX6IohMY_140_150 0 4 Singing 2444 | NmpQX6IohMY_140_150 6 10 Singing 2445 | 3r9NflVxUQw_320_330 0 10 Blender 2446 | CPkbvoDSkqs_40_50 0 10 Violin_fiddle 2447 | CPkbvoDSkqs_40_50 0 10 Acoustic_guitar 2448 | 5TpfTyEWr3k_70_80 0 10 Accordion 2449 | BxU73eU3dEg_0_10 0 10 Motorcycle 2450 | Js8vb6_jjR4_30_40 0 10 Chicken_rooster 2451 | G3Szo_Im5rs_30_40 0 10 Accordion 2452 | MTkN3EBB1uY_70_80 1 10 Singing 2453 | MTkN3EBB1uY_70_80 0 10 Acoustic_guitar 2454 | MTkN3EBB1uY_70_80 0 1 Violin_fiddle 2455 | MTkN3EBB1uY_70_80 3 5 Banjo 2456 | GGr5RlDlG7U_90_100 0 10 Chainsaw 2457 | JfjB3Tz3U_U_30_40 0 10 Motorcycle 2458 | 0dhEeSX-59I_25_35 0 10 Car 2459 | Cj8EEprq2pU_30_40 0 2 Baby_cry_infant_cry 2460 | ABBJDDsYT68_30_40 0 10 Frying_(food) 2461 | F3NPz3dUJsI_30_40 0 10 Dog 2462 | ARZFi1PaUko_30_40 0 10 Lawn_mower 2463 | LGUdvF0PqC0_10_20 0 10 Cat 2464 | IsKSYL5B-Us_10_20 2 4 Basketball_bounce 2465 | IsKSYL5B-Us_10_20 6 7 Basketball_bounce 2466 | IsKSYL5B-Us_10_20 8 10 Basketball_bounce 2467 | IsKSYL5B-Us_10_20 5 7 Speech 2468 | HsFjrit3z4M_310_320 0 3 Singing 2469 | HsFjrit3z4M_310_320 4 7 Clapping 2470 | Nszf2gBWruU_30_40 0 10 Chainsaw 2471 | 2vxm0s-RdOY_260_270 4 7 Basketball_bounce 2472 | MpWZU83HzL8_30_40 0 10 Helicopter 2473 | MpWZU83HzL8_30_40 0 10 Car 2474 | AD-m1uu7UhI_0_10 2 3 Singing 2475 | AD-m1uu7UhI_0_10 4 6 Singing 2476 | AD-m1uu7UhI_0_10 7 10 Singing 2477 | AD-m1uu7UhI_0_10 6 10 Clapping 2478 | DvgyFP7jxh4_70_80 0 10 Blender 2479 | DvgyFP7jxh4_70_80 0 3 Speech 2480 | 0gfxwS7Wla8_30_40 0 10 Car 2481 | H_rWLZ4DNQU_30_40 2 3 Singing 2482 | H_rWLZ4DNQU_30_40 4 8 Singing 2483 | 1MMFztEi-Hk_240_250 0 10 Blender 2484 | 1MMFztEi-Hk_240_250 2 10 Speech 2485 | DUfww-VAuFI_60_70 0 10 Fire_alarm 2486 | Ju4o24LHKl0_30_40 0 10 Cat 2487 | OFtExNYmSfM_30_40 0 10 Dog 2488 | H49jElTxnzQ_50_60 2 3 Basketball_bounce 2489 | H49jElTxnzQ_50_60 5 6 Basketball_bounce 2490 | H49jElTxnzQ_50_60 8 10 Clapping 2491 | CEtiON3_5yA_530_540 0 4 Speech 2492 | CEtiON3_5yA_530_540 3 10 Violin_fiddle 2493 | Kw7r1WV8y30_30_40 0 10 Violin_fiddle 2494 | GWg7TQYUHFo_30_40 0 9 Baby_cry_infant_cry 2495 | CFzJQ6eje0Y_30_40 1 10 Motorcycle 2496 | CFzJQ6eje0Y_30_40 0 10 Dog 2497 | -------------------------------------------------------------------------------- /data/AVVP_test_pd.csv: -------------------------------------------------------------------------------- 1 | filename event_labels 2 | 4YdbENYcIyE_23_33 Baby_cry_infant_cry 3 | KSRjje7GH44_60_70 Blender,Speech 4 | McVcuryKUp4_160_170 Motorcycle,Speech 5 | 6YwGatj9_2M_320_330 Speech,Cheering 6 | HK1i4YyF5WU_30_40 Motorcycle,Speech,Singing 7 | EWG-FzjkTr4_40_50 Speech,Frying_(food) 8 | GSovTky7XbU_120_130 Cello,Violin_fiddle 9 | HKYc0AlZp_A_10_20 Speech,Dog 10 | LWcZGccvDpg_80_90 Motorcycle,Speech,Singing 11 | 6oJeeOZFzyY_20_30 Helicopter 12 | 53ZLWPGoQ8o_40_50 Speech,Clapping,Acoustic_guitar 13 | AgZ7oCbWXhE_100_110 Motorcycle,Speech 14 | 9_jO5lSk-og_30_40 Violin_fiddle,Dog 15 | ESkZHYcqs5g_0_10 Speech,Dog 16 | 6kKs7UKCUBA_70_80 Frying_(food) 17 | LQC5OxzWufM_20_30 Speech,Dog 18 | G7jl8y17HNo_30_40 Chicken_rooster 19 | NaSGRWCzZYM_0_10 Motorcycle 20 | 9vkibU5yBXw_10_20 Singing,Speech 21 | GaxrVD-Brbw_22_32 Speech,Fire_alarm 22 | GZYRcRlFjLA_0_10 Singing,Dog 23 | CaC2xvdLC34_250_260 Singing,Violin_fiddle,Speech,Cello,Clapping 24 | EwecTFF_wUs_80_90 Frying_(food),Speech 25 | Ih7YFHHuwnQ_24_34 Singing,Baby_cry_infant_cry 26 | KBHjIrZuqTw_20_30 Acoustic_guitar,Speech 27 | MRe0mjPslrc_10_20 Cello,Violin_fiddle 28 | 6tCRm2ZbFWI_0_10 Speech,Frying_(food) 29 | 8HqOjWyahzI_20_30 Fire_alarm 30 | FdKtli_dAaM_20_30 Clapping,Speech,Dog 31 | 4HYZPiffsng_130_140 Singing 32 | MIzRWcJCpHg_130_140 Cheering,Singing,Speech 33 | NQioJxQTs9I_60_70 Speech,Dog 34 | BugTqeLnqBY_80_90 Cheering,Speech 35 | CNZjv4gN_KQ_0_10 Fire_alarm 36 | NjTazKop84Y_30_40 Violin_fiddle,Speech 37 | 9bZhKjPrYDQ_20_30 Speech,Baby_laughter 38 | Okt_lzkMWWU_30_40 Cello,Violin_fiddle 39 | 9esovZc8MlY_10_20 Motorcycle,Speech 40 | 0OD_03N7XTQ_250_260 Speech,Clapping 41 | K1nl3lRbDHg_40_50 Speech,Dog 42 | GsVzqrK242Y_30_40 Violin_fiddle 43 | 1Lf1fIO2H2c_120_130 Cello,Violin_fiddle 44 | Gg3pK71kApY_30_40 Motorcycle,Speech 45 | 5auTv92pFHw_50_60 Speech,Vacuum_cleaner 46 | 4GPoFGezWKw_30_40 Clapping,Cheering 47 | P6DiuHkG52I_120_130 Speech,Frying_(food) 48 | AI_noyuz1eg_30_40 Violin_fiddle 49 | Gx8SHokJYNc_20_30 Singing,Acoustic_guitar,Speech 50 | ENDXhI_PeAc_80_90 Motorcycle,Speech 51 | 38d1p_pi1Bs_190_200 Basketball_bounce,Speech 52 | DwLCdnbpUNM_20_30 Speech,Dog 53 | EEM4Wx4cdJ4_210_220 Dog 54 | MFJ198Kyb50_60_70 Speech,Accordion 55 | M-FcPJaD1cU_30_40 Chicken_rooster,Speech 56 | H5WcJwyjxIg_2_12 Baby_cry_infant_cry 57 | 1I3NxY6OZ5E_28_38 Car 58 | JTGPavUwTC8_40_50 Speech,Dog 59 | 9QO5IkIA9kI_30_40 Car 60 | Baue01N86wE_10_20 Basketball_bounce,Speech,Dog 61 | C3_feVp95Vo_150_160 Clapping,Acoustic_guitar,Singing 62 | 103Bq0x6Mkc_30_40 Car 63 | F-GyUG4KIXM_260_270 Motorcycle,Speech 64 | 9HWG4g7a9xw_130_140 Singing,Banjo 65 | CRmIjKjFl1A_60_70 Acoustic_guitar,Speech 66 | B40LYUDQXsI_220_230 Speech,Blender 67 | 4GsxyoB4aTc_490_500 Clapping,Speech,Cheering 68 | 1Y5nXF9O1Ds_420_430 Car 69 | 7iSCziLZgow_60_70 Banjo,Speech 70 | 7wQzfyAWIFc_60_70 Cello,Banjo,Violin_fiddle 71 | JaIFJM7blIw_20_30 Singing,Speech 72 | ChbspYoUEok_370_380 Speech,Singing 73 | 0PiaL2id26k_10_20 Cheering 74 | EE2BwtP32tM_220_230 Singing 75 | H8hkekh2YCw_50_60 Accordion 76 | JV4tgBESp1o_30_40 Speech,Baby_cry_infant_cry 77 | 5WzC9x-CSdI_350_360 Speech,Fire_alarm 78 | CgtZk77v2Bk_30_40 Violin_fiddle,Speech 79 | 7NLT62MMjHM_30_40 Clapping,Cello,Violin_fiddle 80 | BxYEvbG7V_A_280_290 Speech,Frying_(food) 81 | 0QFpWAP8fPs_390_400 Clapping,Cheering,Speech 82 | 3FRbdOsd4m8_40_50 Banjo,Speech 83 | McfGMq5A5G8_30_40 Acoustic_guitar,Violin_fiddle,Banjo,Speech 84 | GuAPW2ZztgU_140_150 Singing,Banjo 85 | GXsoVZJpLEc_510_520 Cello,Violin_fiddle 86 | Gjk7H4JLso8_30_40 Cheering,Speech 87 | FJehTJMrmLc_30_40 Violin_fiddle,Speech 88 | 4Z9beOADIII_160_170 Cheering,Clapping,Basketball_bounce,Speech 89 | NMlfyPv2AqM_15_25 Baby_cry_infant_cry 90 | N30pd7uKMiM_480_490 Acoustic_guitar,Speech 91 | FLNsuh4w-PU_10_20 Fire_alarm 92 | G_g8PTgg95M_24_34 Speech,Baby_cry_infant_cry 93 | 5WTVL8fEUY0_110_120 Cheering 94 | 2VQtwvIo8qs_470_480 Telephone_bell_ringing,Speech 95 | Ishr8cHsJkc_180_190 Speech,Dog 96 | 7uKI2_0A2ik_30_40 Violin_fiddle 97 | 5ZYL9aj-iSE_16_26 Chicken_rooster,Singing 98 | IyBazGaHPeo_30_40 Cat,Speech 99 | IzLz4Ph3TCc_430_440 Cheering,Speech 100 | JJFpEZp9ZKM_100_110 Motorcycle,Speech 101 | 6aV6c8mY0lg_30_40 Chainsaw 102 | FcwK-l_KzEs_0_10 Basketball_bounce,Speech 103 | IC9tibnJaUQ_30_40 Violin_fiddle 104 | 16k-hKzQqKc_270_280 Helicopter 105 | FD_AHY-4uaA_80_90 Fire_alarm 106 | AVasy709Ofg_250_260 Singing,Speech 107 | HtrM3GQgaLE_370_380 Blender 108 | Oym6YOjElyY_30_40 Violin_fiddle,Dog 109 | 2yWbTuh3Tsk_130_140 Car 110 | PBK0p8RDmm4_30_40 Violin_fiddle 111 | Gfz5bt9Nz9c_390_400 Basketball_bounce 112 | A_5YCMXwfJ0_30_40 Telephone_bell_ringing 113 | Kecpmbnv2Qc_30_40 Chicken_rooster,Speech 114 | 2GNao3a40A4_30_40 Car 115 | 36vbgLgd4t8_80_90 Cheering 116 | BjgpmR-jg6o_30_40 Helicopter,Speech 117 | Gcr2ji60wlQ_130_140 Singing 118 | 4-neH6LyxBM_170_180 Speech,Clapping 119 | KhYlQoDEtKI_50_60 Singing,Acoustic_guitar 120 | 4ji654VwS1Y_30_40 Dog,Basketball_bounce,Speech 121 | 6PjC9sMqGT0_30_40 Baby_laughter 122 | DapUtDGFIXI_30_40 Chicken_rooster,Speech 123 | OLU25V3tlhg_30_40 Violin_fiddle,Speech 124 | OVsI6Z0ulVk_0_10 Speech,Baby_cry_infant_cry 125 | 4wpHh0_Nx4U_30_40 Violin_fiddle 126 | AMhSn6vfmyg_30_40 Singing,Acoustic_guitar 127 | CY5ib3L_Z2Y_330_340 Acoustic_guitar,Singing,Speech 128 | -3M-k4nIYIM_30_40 Speech,Car 129 | IspgiqrvIHE_240_250 Cello,Violin_fiddle 130 | Jcl-neWfkpk_30_40 Baby_cry_infant_cry 131 | 2rk3CP0wyTE_30_40 Frying_(food) 132 | MK0VVTjYX40_190_200 Speech,Dog 133 | 1TI0hV-FkKg_30_40 Car 134 | AXXbSozzodM_150_160 Speech,Frying_(food) 135 | Hkltdxt_xt0_0_10 Speech,Fire_alarm 136 | Ad0rGygHe4g_170_180 Speech,Fire_alarm 137 | G4TowkVcclw_90_100 Lawn_mower 138 | JRnkgiP2QSg_70_80 Chicken_rooster,Speech 139 | 1H0fdBjsZHc_30_40 Helicopter 140 | NuTfSFkvlbE_130_140 Helicopter 141 | 2orWqNIpHOc_16_26 Car 142 | GdND_LYJtYg_30_40 Vacuum_cleaner 143 | MwoLwkYOtqM_240_250 Vacuum_cleaner 144 | 84r8zNfMIbs_0_10 Lawn_mower 145 | N2njw1Ud_EQ_30_40 Violin_fiddle,Speech 146 | JpcZzu4W_hM_100_110 Singing,Cheering 147 | GSWybGaQQdc_340_350 Speech,Fire_alarm 148 | Ff-TeBQ361Q_30_40 Singing,Violin_fiddle,Speech 149 | EcYet3dbyKM_20_30 Helicopter,Car 150 | EX1bUjlQI_c_60_70 Cello,Violin_fiddle 151 | BxgvBWlycvs_30_40 Cheering,Violin_fiddle 152 | 1dXi63XBCOg_140_150 Singing 153 | BlU3CyIZN44_26_36 Baby_cry_infant_cry 154 | 9XmmpxuOnBY_30_40 Accordion 155 | 0XLFf3Qvahw_30_40 Speech,Car 156 | LzdgaHNurYc_380_390 Speech,Basketball_bounce,Cheering 157 | OOX_Pf-aIoQ_90_100 Speech,Baby_laughter 158 | HqVapoaA2J4_10_20 Singing 159 | 3F2x54nOz6g_30_40 Speech,Car 160 | Fgk4AsHy8Lk_450_460 Cheering,Singing,Speech 161 | M5beD6jFbGY_120_130 Cello,Acoustic_guitar,Speech 162 | ANj-8zDd_ds_60_70 Singing 163 | 1My2TdVmCsg_5_15 Car 164 | 9xFa6pE7120_270_280 Speech,Frying_(food) 165 | IoJRmwCoouc_20_30 Helicopter,Speech 166 | 7tgqtRO7RXA_170_180 Singing,Clapping 167 | K8pU44rsLJY_150_160 Vacuum_cleaner 168 | 9VhN9GMfdws_10_20 Cat,Chicken_rooster,Speech 169 | JmKW2s5XfYE_50_60 Helicopter,Speech 170 | FoAmYrmOvbU_30_40 Frying_(food) 171 | KsG6-R7HUJs_10_20 Helicopter 172 | 3FAtNPDE4ec_190_200 Speech,Vacuum_cleaner,Dog 173 | MgyoRSEhx-U_70_80 Motorcycle 174 | 9LNuWqOQP5Q_110_120 Basketball_bounce,Speech 175 | MawlYZVYOMo_30_40 Violin_fiddle,Speech 176 | FjseijUfvlw_30_40 Accordion 177 | 4hrI2M7j8WA_30_40 Baby_cry_infant_cry 178 | NmSWk0ZMobQ_40_50 Speech,Baby_laughter,Singing 179 | 0mIwyFySgjs_30_40 Car 180 | H_8WC4u6Qyw_20_30 Motorcycle,Speech 181 | EsXa6SNVgSI_30_40 Cello,Speech 182 | CPEt0PUohIs_50_60 Basketball_bounce,Speech 183 | DO_ZDe2CN5I_11_21 Cat,Speech 184 | F8WZokPcBaQ_380_390 Violin_fiddle,Speech 185 | 2aZlrW4h7Do_20_30 Singing 186 | E5ajREsZ0YE_80_90 Singing 187 | Mzp5uTDaKog_120_130 Frying_(food),Speech 188 | 32HDt9nk9io_22_32 Speech,Car 189 | B52GT8H-Xh8_70_80 Speech,Vacuum_cleaner 190 | 3-uc0WWeHtc_70_80 Singing,Clapping,Acoustic_guitar,Cheering 191 | 0xvGvc-zADE_30_40 Car 192 | MCZem5teAUk_100_110 Lawn_mower 193 | Ks7Qzoz6bZM_30_40 Cat,Speech 194 | Cg3RJSsI2mo_180_190 Basketball_bounce,Cheering,Clapping 195 | 4I7lDHX-3yw_30_40 Cello,Violin_fiddle 196 | K1QrW6MVmjg_30_40 Cello,Violin_fiddle 197 | JI1hX9-vnw4_30_40 Motorcycle,Speech 198 | AZ7oIykkOAw_22_32 Cat,Speech 199 | 2UqkPdlcL9M_160_170 Speech,Car 200 | CZb2nbND3Q4_30_40 Violin_fiddle,Acoustic_guitar,Singing 201 | FPIXF5Pe_vw_190_200 Blender 202 | OxLXwhs0SKg_50_60 Speech,Dog 203 | KyVyxGuO1Ks_30_40 Baby_cry_infant_cry 204 | LxdLlDDQL84_42_52 Cat 205 | 9oRXmln3Ois_0_10 Motorcycle,Speech 206 | 8pEbXu9BIvw_460_470 Helicopter 207 | F1h4aahVp9g_30_40 Chicken_rooster,Speech 208 | LZ6oDntUV2c_40_50 Chainsaw 209 | I5cPHUOT48U_110_120 Singing 210 | O7gn7LQV8yQ_21_31 Violin_fiddle,Speech 211 | 99oZQTz-dms_80_90 Singing,Banjo,Acoustic_guitar 212 | 0292kQJnKos_30_40 Cheering,Speech 213 | ODcTO7pKBFs_30_40 Chicken_rooster 214 | KFxkiml9SFc_520_530 Accordion 215 | FCueNJBHERY_30_40 Violin_fiddle,Speech 216 | MRHf3aoGygE_160_170 Lawn_mower 217 | 18XhuufODY0_30_40 Cheering,Speech,Singing 218 | OXXRBxLShsk_140_150 Motorcycle,Speech 219 | Fci7bNxsSVw_80_90 Motorcycle,Speech 220 | J9Vp-dO7oHU_30_40 Violin_fiddle,Speech 221 | NwnzqSSJ1wQ_230_240 Helicopter 222 | EjXZSqowaQ8_30_40 Motorcycle 223 | GThcvgY_HBU_210_220 Singing 224 | 63heHZVYvc0_240_250 Basketball_bounce,Cheering 225 | FiI7mYduvGo_160_170 Speech,Singing 226 | 2ZVFpnkD35M_10_20 Singing,Car 227 | 6Gyp_pZ2LCU_10_20 Singing,Speech,Clapping 228 | MvxuOggmXh0_0_10 Speech,Accordion 229 | CnPYJnV1gCU_20_30 Cello,Violin_fiddle 230 | KcIu2WxoeiM_0_10 Helicopter 231 | Dc6SJp2Q-fw_20_30 Singing,Speech 232 | 2cxmB7Zx6Po_4_14 Speech,Car 233 | IahVMI-BxJs_460_470 Cello,Violin_fiddle 234 | 6gSLA-BG7Lw_70_80 Basketball_bounce,Speech,Cheering 235 | J-PhnBJlJuU_160_170 Singing 236 | 6MsXK02jZKE_40_50 Helicopter 237 | FdRXZAf5mMc_150_160 Speech,Dog 238 | G62jBqwUsac_90_100 Singing,Acoustic_guitar 239 | 3QBBpzE3_Qk_90_100 Speech,Motorcycle,Car 240 | P2cC4rFXr_4_30_40 Chainsaw 241 | CPOsok1yDeg_90_100 Helicopter 242 | 9hlb-6VC2zg_30_40 Car 243 | Hs7fnFd5tag_160_170 Cheering,Speech 244 | 2YMj5Li-_mU_140_150 Speech,Car 245 | M6AZo0Z0xBo_30_40 Cello,Violin_fiddle 246 | 6uQyki-4Q_c_0_10 Singing,Acoustic_guitar 247 | FSaIBGrJ9Jg_90_100 Chainsaw 248 | MTIfUXAtQcE_170_180 Helicopter,Speech 249 | C6fYcT9_0Yg_100_110 Car,Motorcycle 250 | EZABDQrX-VU_380_390 Speech,Frying_(food) 251 | LfhdhtoK_dg_40_50 Singing,Speech,Clapping 252 | 8k_E2GRTQXU_160_170 Cello,Violin_fiddle 253 | OuzXjZb_amo_140_150 Acoustic_guitar,Speech 254 | Hyegfva1pCA_14_24 Chicken_rooster 255 | 04TYhV8SKZ0_30_40 Singing 256 | 1AgD2StmjBo_30_40 Car 257 | Lp6JViuKWlo_20_30 Speech,Baby_cry_infant_cry 258 | CmU6Obv2tU8_110_120 Speech,Dog 259 | L1AecaJTxKc_60_70 Singing 260 | D1aU2qkXvT8_30_40 Violin_fiddle,Speech 261 | 9aNXDP2rv7o_220_230 Blender,Speech 262 | 6m9tybo1Lvo_380_390 Accordion,Speech 263 | GERse3o3Uuo_70_80 Singing,Speech 264 | 6KokONMge3U_570_580 Cheering 265 | DFfBjNlNn4w_140_150 Singing,Speech 266 | 9u43K-cj_Pk_90_100 Cello,Violin_fiddle 267 | EvHgP6eSPxo_10_20 Speech,Dog 268 | N53RH_fQcwM_30_40 Violin_fiddle,Speech 269 | 0yW5XUGJsOU_8_18 Speech,Car 270 | MlnBzUzGhlA_10_20 Lawn_mower 271 | 8yXP8fCzh78_190_200 Accordion 272 | I6i5F6GT4wo_0_10 Speech,Baby_cry_infant_cry 273 | 9wrBXMEM9Zg_230_240 Lawn_mower,Speech 274 | 77Hsf1HCiyU_210_220 Cello,Violin_fiddle 275 | NPn6c2LcMkQ_30_40 Baby_laughter 276 | J2SFw1xdf8w_50_60 Accordion 277 | BVkRX4CLEpc_30_40 Violin_fiddle,Car 278 | 4c4B-5YpkVc_370_380 Helicopter 279 | KmN2GrhTxXE_10_20 Motorcycle,Speech 280 | HWQoxySBNWk_0_10 Speech,Fire_alarm 281 | Abp44StqNzo_100_110 Speech,Vacuum_cleaner 282 | 2uAcTbCSTOg_20_30 Basketball_bounce 283 | KcXWxITU5s0_16_26 Speech,Dog 284 | KzrmSD86sr0_520_530 Blender 285 | GZr3keHd3o8_30_40 Singing,Speech 286 | 7TZDBbCYZN0_70_80 Speech,Baby_laughter 287 | K9KdTtdCRWw_30_40 Telephone_bell_ringing,Speech 288 | AyccjmQs19I_30_40 Violin_fiddle 289 | JX-yvRwRrEU_210_220 Speech,Blender 290 | MRaYiK3K0Rc_40_50 Frying_(food) 291 | 40PKn0gnPJA_170_180 Singing 292 | 0eLC4aFPpng_30_40 Car 293 | 1CG8aPFUBOs_30_40 Car 294 | 1ewB56vAp7I_480_490 Speech,Vacuum_cleaner 295 | Ht5wjEzlh0U_30_40 Telephone_bell_ringing,Speech 296 | LCv-gA_A7Pk_30_40 Acoustic_guitar,Speech 297 | BXRksBkw2vw_30_40 Chicken_rooster 298 | 6EEk_o64UYA_90_100 Cello,Violin_fiddle,Acoustic_guitar 299 | 1P-cBqOVT24_10_20 Car 300 | CUJQd9h5WNE_10_20 Helicopter 301 | Os2-U4dwBs8_30_40 Basketball_bounce,Cheering 302 | Cg2eujp6keI_30_40 Speech,Baby_cry_infant_cry 303 | 4gZQO_9-HPI_330_340 Speech,Frying_(food) 304 | LIFlDrWOq8I_60_70 Lawn_mower,Speech 305 | HHZFo5HpEv0_0_10 Basketball_bounce,Speech 306 | OoTe9A7L7GQ_80_90 Singing,Acoustic_guitar,Cello,Violin_fiddle 307 | AFVmMICLE8I_30_40 Acoustic_guitar,Speech 308 | 9HCViC7x4U4_60_70 Violin_fiddle 309 | CUqpZ7B4obA_400_410 Speech 310 | HKUHuK9_Jto_60_70 Singing,Cheering 311 | FLEC3gA30Pw_410_420 Acoustic_guitar,Singing 312 | FbN2-I2CBbU_30_40 Speech,Dog,Singing 313 | GXIrtKSFXaM_30_40 Accordion 314 | 4IVeDG3meqY_140_150 Lawn_mower,Speech 315 | FsTXNxD8M2A_0_10 Dog 316 | MQWKt3_NVvM_70_80 Speech,Dog 317 | 104Ghhu6mks_21_31 Speech,Car 318 | 0eiUQq1BPcA_80_90 Singing,Cheering 319 | Knh6TSkrpU0_2_12 Speech,Dog 320 | 0vlayD4ueuA_0_10 Chainsaw 321 | 9nVkiuTFbBQ_110_120 Singing,Banjo,Acoustic_guitar 322 | LqSxIzqYsfY_160_170 Cello,Violin_fiddle 323 | JDewbf6JixU_440_450 Singing,Acoustic_guitar 324 | BIhNX3EiXBk_140_150 Speech,Dog 325 | J73WaU8XiH4_30_40 Violin_fiddle,Speech,Cheering 326 | IYjYzJXI-Oo_90_100 Singing,Speech 327 | BJZ5U4bXsd8_7_17 Speech,Dog 328 | 8oHpRkN839s_30_40 Speech 329 | Bv9bfnPW_8c_30_40 Baby_cry_infant_cry 330 | CZp7HDm9or0_30_40 Helicopter 331 | IF_wzyRY0K8_30_40 Helicopter 332 | 1eZeaT7IfE4_4_14 Speech,Car 333 | 0kNHMn3a6BM_30_40 Speech,Car 334 | GmJOAndLRBA_10_20 Basketball_bounce,Speech 335 | 9aWNjRqjmDo_160_170 Blender,Speech 336 | ARWLYqQDb6w_440_450 Blender,Speech 337 | 83Txe5EAijU_260_270 Blender 338 | 37hqUFpvl6A_30_40 Speech,Baby_laughter 339 | LAXWSmoMfNw_10_20 Speech,Dog 340 | ExcQZFswFks_50_60 Speech,Dog 341 | 2z6uYGt7jsU_220_230 Singing 342 | HBBZzLNKgPg_200_210 Violin_fiddle,Speech 343 | F0Omj8D7rOg_0_10 Vacuum_cleaner 344 | HQcefyCi7bM_170_180 Speech,Frying_(food) 345 | BIoHN1ABoQE_90_100 Singing,Speech 346 | LWlJFSROVXM_3_13 Chicken_rooster 347 | DXlefGbw_0E_360_370 Singing 348 | 69wXDaayFKM_316_326 Clapping 349 | Jpg9gXXGO8o_30_40 Motorcycle 350 | KgvsnA-mGRc_30_40 Motorcycle 351 | 19kcipjzOGI_7_17 Baby_cry_infant_cry 352 | Fh2-vVvxbnI_90_100 Acoustic_guitar,Singing,Speech 353 | KoBKt9OwUDA_0_10 Basketball_bounce,Speech 354 | KyZTzL7dzdg_30_40 Violin_fiddle,Speech 355 | HlrhAru1e44_30_40 Violin_fiddle,Speech 356 | OZIvnePrY8A_80_90 Blender 357 | OCeSi3IcRLM_170_180 Singing,Speech 358 | CDqI8ZkG7jo_0_10 Chicken_rooster 359 | JVgisBJ_Hss_30_40 Violin_fiddle,Speech 360 | ETn6CUxtQeE_40_50 Speech,Baby_laughter 361 | 4dG9F_XdFR4_200_210 Telephone_bell_ringing,Speech 362 | 1XFai_UlKrY_20_30 Car 363 | ApkOh15yKcg_80_90 Speech,Dog 364 | JVnyQw8ORJQ_10_20 Baby_laughter 365 | KeVUagDleIg_30_40 Cat,Speech 366 | E7FXBV0vbg8_90_100 Banjo,Cello,Acoustic_guitar 367 | 9agE8s-KegQ_60_70 Speech,Dog 368 | Ib7cg0gudCs_170_180 Vacuum_cleaner 369 | AlKo6BKs6ec_190_200 Chicken_rooster 370 | 30I48iihzy8_30_40 Chicken_rooster 371 | ArfpBVgOf3o_300_310 Fire_alarm 372 | EXfxW_Vfn1s_110_120 Clapping,Speech 373 | J87ZTJnSuhw_20_30 Chicken_rooster 374 | GQz-CzUqGnw_70_80 Acoustic_guitar 375 | MyaBGqF5RgQ_10_20 Vacuum_cleaner 376 | 2syCCpacVu0_30_40 Cello,Violin_fiddle 377 | Nkv47Gmn66Q_40_50 Cat,Speech 378 | ERG8KKpqpWQ_20_30 Singing,Acoustic_guitar 379 | CalrtHAXuqs_20_30 Speech,Dog 380 | 5iHTULmNp9E_210_220 Cheering,Singing 381 | MFZa7e1Xkog_360_370 Frying_(food),Speech 382 | -2CdXt0-f0I_30_40 Speech,Car 383 | C60iaPPFLBw_30_40 Speech,Lawn_mower 384 | 9rgmk7a1_7E_30_40 Cheering,Speech 385 | OujGx4hYJog_0_10 Clapping 386 | 3gf7VphLu4A_30_40 Cheering,Acoustic_guitar,Violin_fiddle,Singing,Clapping 387 | 9CEVf9vuRMg_90_100 Accordion 388 | 2_AFIyj9N_I_120_130 Singing 389 | CF7WuVvydVc_0_10 Accordion,Clapping,Speech 390 | A8B7Vpt3HOs_30_40 Violin_fiddle,Speech 391 | LS1OwvItlgM_210_220 Chicken_rooster,Speech 392 | C_0rtVrHxyM_50_60 Cello,Violin_fiddle 393 | N70uvJf6Fs4_30_40 Violin_fiddle,Speech 394 | Fr_9CvC8Xxo_30_40 Baby_cry_infant_cry 395 | 2eCf9vVEnX8_19_29 Speech,Car 396 | E62kiwwhsu8_30_40 Cello,Acoustic_guitar 397 | 8ncJ1dIf33I_90_100 Motorcycle 398 | 7OxK7UvZ5S8_150_160 Clapping,Accordion 399 | Ir6xFmmEfEA_170_180 Speech,Dog 400 | 8SS8G2pCOVs_60_70 Cello,Violin_fiddle 401 | D93JcF6eH_w_40_50 Chicken_rooster,Speech 402 | Juv7x384pqI_27_37 Motorcycle 403 | EqYPDn23Rjw_30_40 Accordion 404 | 5iGJ3W1QPKw_190_200 Chainsaw 405 | 81WXDWpgzPA_0_10 Lawn_mower 406 | 45wAIX6_eCo_100_110 Baby_laughter 407 | Fk8y6-wbBUk_20_30 Vacuum_cleaner,Speech 408 | C6G6Clcqhvs_170_180 Blender 409 | NQ5G3EpBpIY_30_40 Speech,Dog 410 | 6ocUrRBIuls_340_350 Speech,Vacuum_cleaner 411 | 2pUldlC4Pwc_30_40 Speech,Car 412 | 3usWruCwma0_180_190 Basketball_bounce,Cheering,Speech 413 | FcJApggTD4A_210_220 Cheering,Speech,Clapping 414 | IgN7v8nWmx8_30_40 Violin_fiddle,Speech 415 | CqPZuJHWm3g_30_40 Chicken_rooster 416 | 4iJQqql5fNo_30_40 Violin_fiddle 417 | 0iEtuM3NEKw_30_40 Car 418 | JfZEqeLZqWk_30_40 Speech,Baby_cry_infant_cry 419 | 9mKakXiHNA8_0_10 Speech,Dog 420 | 4JQociQyPrI_110_120 Singing 421 | 8e6ha9wOsl0_30_40 Vacuum_cleaner 422 | 9vPMaY9f540_40_50 Chainsaw,Speech 423 | 6YuCa3NAINw_130_140 Frying_(food),Singing,Speech 424 | EmTtADpTbF4_40_50 Speech,Clapping 425 | 3C1EACXWbnM_140_150 Chainsaw,Speech 426 | IfCB-RoiEGI_30_40 Violin_fiddle,Speech,Acoustic_guitar,Clapping 427 | O94UDJiPfX8_310_320 Cello,Speech 428 | 10lI3fjFrBU_30_40 Speech,Car,Singing 429 | 8L6AX8xepUI_19_29 Baby_cry_infant_cry,Speech 430 | C4bd-ONGMf0_20_30 Accordion 431 | MfWiB4-reII_30_40 Cello,Violin_fiddle 432 | IbEqfqTarSQ_210_220 Vacuum_cleaner 433 | Ar7FCio0__8_3_13 Chicken_rooster,Speech 434 | 4qcrawQOVTM_260_270 Blender,Speech 435 | CljryupR2zA_140_150 Singing 436 | Nmqq83EfK8U_80_90 Speech,Dog 437 | GhXg04KU9Ws_22_32 Chainsaw,Speech 438 | KwksDbd45Jc_220_230 Basketball_bounce,Speech 439 | E2dlH4BhIho_90_100 Cello,Violin_fiddle,Acoustic_guitar 440 | DcCEGqcN2Rs_10_20 Singing,Acoustic_guitar,Speech 441 | DPpp6t1d2Rk_90_100 Cello,Violin_fiddle 442 | ExjkmiWArck_380_390 Frying_(food) 443 | NnrAayAuZ1s_60_70 Acoustic_guitar 444 | O4r45CKNnOc_10_20 Speech,Dog 445 | F4HxYGZbVOA_7_17 Chicken_rooster 446 | EevMPTtfWv8_30_40 Violin_fiddle,Speech 447 | BRqkaSCAh3E_30_40 Lawn_mower,Speech 448 | 2t-wNPg6_hw_110_120 Cello,Violin_fiddle 449 | K2VYvpLh-CI_130_140 Cat 450 | ANN4OCM_LAU_60_70 Speech,Dog 451 | GCnRAAmkmTw_30_40 Cello,Violin_fiddle 452 | 1-VMTJRpjbE_150_160 Speech,Fire_alarm 453 | 9odknW1Mu1s_120_130 Basketball_bounce,Speech,Clapping 454 | Jmd4nOKYpsw_370_380 Frying_(food) 455 | DiN7YWCEGzs_110_120 Motorcycle,Speech,Car 456 | FU1_O_GJDko_410_420 Chainsaw 457 | 2M4NSG-8NVw_30_40 Accordion 458 | 9yZV_ULTEBc_30_40 Violin_fiddle 459 | 0YErPHsAxWM_80_90 Speech,Car 460 | JE1BeJi3NmI_180_190 Frying_(food),Speech 461 | KY_EJ9wCJ1E_320_330 Violin_fiddle,Speech 462 | 4HBpU0TRpYg_30_40 Motorcycle 463 | KKghPv944Ks_30_40 Vacuum_cleaner 464 | HnAoOz2WKAQ_8_18 Helicopter,Clapping,Cheering 465 | K7HLZeuyWjo_190_200 Banjo,Speech 466 | A4fQnv9jHU8_14_24 Violin_fiddle,Speech 467 | CQ8JIgw2Mo0_30_40 Telephone_bell_ringing,Speech 468 | 3erZlRYYru8_140_150 Singing 469 | OK0pHsgHgDU_140_150 Singing,Speech,Cheering 470 | KCckyE6pu0Q_140_150 Violin_fiddle,Acoustic_guitar 471 | DOwB4BzrC-8_0_10 Lawn_mower,Speech 472 | 2QCkooK5ZuY_30_40 Speech,Car 473 | 22aQBSPKFbM_180_190 Speech,Fire_alarm 474 | 6GfKGwRSRIw_30_40 Vacuum_cleaner 475 | M8gi6g5I2iQ_0_10 Banjo 476 | 8s9sFYDlYYY_0_10 Acoustic_guitar 477 | 2o7p139v9n4_20_30 Speech,Car 478 | 0sBkJR5Jads_8_18 Car 479 | OdOIHGWEsqg_30_40 Chainsaw,Speech,Dog 480 | D0Ex9W0sEOI_160_170 Singing,Violin_fiddle,Acoustic_guitar 481 | 0aVst7GNuVM_30_40 Car 482 | KdlvYugCXvo_130_140 Helicopter 483 | Ok7Cyiz1lr8_190_200 Blender,Speech 484 | 5iF6LJ7_N2Q_400_410 Cello,Violin_fiddle,Clapping 485 | 8JP7ReHkkus_100_110 Vacuum_cleaner 486 | NT3BpX75ylU_30_40 Violin_fiddle,Speech 487 | G-c_nrKUUIk_30_40 Helicopter,Speech,Car 488 | GubjpoIeZTc_180_190 Speech,Frying_(food) 489 | AHyGaSlJ7UE_10_20 Violin_fiddle,Speech 490 | DryXFqmkAn0_0_10 Cheering,Speech,Clapping 491 | OW9bURekJ8s_20_30 Singing,Acoustic_guitar 492 | 0mMAgkJc9DM_60_70 Singing 493 | JBPezyDs1-k_24_34 Chainsaw 494 | KCOcjOPIxJM_10_20 Chicken_rooster,Speech,Cat 495 | FnbGdv-P-7A_30_40 Chicken_rooster 496 | CcHkqs_6hPk_30_40 Violin_fiddle,Speech 497 | NkIhwefp87o_50_60 Speech,Vacuum_cleaner 498 | AXrILCCk2Dw_130_140 Cello,Violin_fiddle 499 | AdW3WsQy7QY_170_180 Fire_alarm 500 | 0BTS8X0-F_o_130_140 Helicopter 501 | FfLu0skvyR4_170_180 Helicopter,Speech 502 | Ip3SFk3NsfE_150_160 Chicken_rooster 503 | H7CSAnSPS28_18_28 Chicken_rooster 504 | 9TZBF1tZ1RU_90_100 Chicken_rooster 505 | 0x4ozoZB_2M_0_10 Chicken_rooster 506 | P4X2Gnt8_JE_30_40 Cheering,Speech 507 | DKEwkMDiJSI_20_30 Singing,Accordion,Acoustic_guitar 508 | 9rYyCItieAU_140_150 Speech,Dog 509 | Hc1zpmHBVn0_370_380 Motorcycle,Speech 510 | Ltx0lEqqoac_80_90 Basketball_bounce,Speech,Cheering 511 | CCywFuWAucg_30_40 Vacuum_cleaner 512 | 38lBhABkGbA_50_60 Cheering,Clapping 513 | N_x3pPx8TWk_470_480 Singing,Speech,Cheering 514 | MUZ9A25GOQM_430_440 Speech,Clapping,Cheering 515 | FzBiLjptAC8_170_180 Cello 516 | -8J-J79jkIE_30_40 Car 517 | 6x5UQq781zQ_0_10 Accordion 518 | 19lu7gR1je0_180_190 Car 519 | CUrk6x1eDFk_18_28 Chicken_rooster,Speech 520 | BX_0KPEn9iE_30_40 Cello,Violin_fiddle 521 | 0dgKhlejMJ8_350_360 Cello,Violin_fiddle 522 | 0Zn0yN14eh8_230_240 Chainsaw 523 | BjOWvamMDTw_190_200 Motorcycle,Speech 524 | LZGMn_8Ky-U_220_230 Acoustic_guitar,Speech 525 | LjBs2e_sW4E_160_170 Lawn_mower 526 | 82T_W4uINdQ_130_140 Cello,Violin_fiddle 527 | BNiU6AKQTCs_140_150 Motorcycle,Speech 528 | D-DBnNlXTIc_20_30 Speech,Dog 529 | Fnq5BrdO0tc_280_290 Motorcycle,Speech 530 | 0qrycWgd2tE_0_10 Acoustic_guitar,Violin_fiddle 531 | H8wvllC_LOY_0_10 Cat,Speech 532 | KxhN4Y6eMRg_390_400 Singing,Speech 533 | 4Q37R8tiQUo_370_380 Blender,Speech 534 | AtYmhWV2bAw_30_40 Helicopter,Speech 535 | NryAmlnxqB0_10_20 Singing,Banjo,Acoustic_guitar 536 | B5vchK8zBNY_100_110 Speech,Dog 537 | 2YJMfQdcVhY_180_190 Speech,Fire_alarm,Cat 538 | KGwKORR6L7w_30_40 Speech,Baby_cry_infant_cry 539 | E6AOfcgn3hw_220_230 Violin_fiddle 540 | EhhFEWf7efU_130_140 Motorcycle,Speech,Car 541 | 9q5MoqQOAoI_30_40 Speech 542 | EJja-gIp7Yw_250_260 Accordion 543 | I7fdphE2vRM_200_210 Motorcycle,Speech 544 | ESfOqi5mHtc_240_250 Blender,Speech 545 | FP07wCKSwbE_400_410 Speech,Accordion 546 | Hp4nx234ZsI_260_270 Singing,Acoustic_guitar,Speech 547 | 2D2rAWKavS0_29_39 Helicopter 548 | B4Qzd6WRiZk_120_130 Singing,Banjo 549 | Gi1iUYh6ZUo_0_10 Basketball_bounce,Speech 550 | 9DfDmEBAcK0_20_30 Vacuum_cleaner 551 | 0EcfL54lGUA_30_40 Cheering,Speech,Car,Clapping 552 | MUmLS_Y_pmY_0_10 Speech,Dog 553 | LFebeVofHyg_30_40 Clapping 554 | KEUQxR12Cfo_30_40 Cello,Violin_fiddle,Acoustic_guitar 555 | Hir4RLCwKg4_0_10 Cello,Speech 556 | 44ieR06LA9s_220_230 Singing,Cheering 557 | CNnEqypUvSQ_170_180 Speech,Frying_(food) 558 | 1yoC00ssaXo_10_20 Chicken_rooster 559 | 10e2PY0WjPY_30_40 Car 560 | MdI_Wq_eoRU_220_230 Helicopter 561 | C-4Ac8IQMf0_30_40 Cello,Violin_fiddle 562 | 4YevHVmj_Pw_20_30 Basketball_bounce,Speech,Cheering,Clapping 563 | IPL838cX_FI_0_10 Cheering,Speech 564 | E1ep57TU23A_0_10 Singing,Speech,Clapping 565 | N0VLDMrMkVs_100_110 Speech,Dog 566 | HZ_iK9BlTrA_30_40 Violin_fiddle,Speech,Singing 567 | GM9ooYeYcY0_90_100 Speech,Dog 568 | N7FraoLwBiw_30_40 Cat,Speech 569 | 4X1WG1p4hIk_30_40 Cheering 570 | 2ostuog9wxQ_30_40 Cheering,Clapping,Speech 571 | HtMc8x6fmIM_70_80 Chicken_rooster,Speech 572 | 5PXHXL89Kac_0_10 Vacuum_cleaner 573 | NkHc5KOqJRg_20_30 Speech,Frying_(food) 574 | 0DvICv9rCkM_70_80 Vacuum_cleaner 575 | JGJe3zySkFU_10_20 Acoustic_guitar,Speech,Singing 576 | M8hUgx2y7qk_20_30 Vacuum_cleaner,Dog 577 | 2U6aYsjc1UM_130_140 Blender,Speech 578 | GyOP7DP4wNU_0_10 Speech,Dog 579 | -1HZWgFylMQ_590_600 Speech,Car 580 | 9skVErB1xYc_200_210 Basketball_bounce,Speech,Cheering,Clapping 581 | 2faB83bZ0B4_80_90 Singing 582 | GvVdunhxlp4_80_90 Accordion 583 | Iui-6VAc1Lk_80_90 Singing,Cheering,Clapping 584 | K4dSVn0RLGM_20_30 Chainsaw 585 | 5mNrmq4IDdY_30_40 Cheering,Clapping,Speech 586 | DOjo6_9WxCo_30_40 Speech,Vacuum_cleaner 587 | FzFRjoK--R0_30_40 Motorcycle 588 | MFaRhAq2JLw_10_20 Baby_cry_infant_cry 589 | 30FcoFSyixc_100_110 Accordion,Singing 590 | MYhKZftZBOs_570_580 Cello,Violin_fiddle 591 | Laz66LyqR30_0_10 Vacuum_cleaner 592 | OiIaJb68Haw_50_60 Banjo,Acoustic_guitar,Singing 593 | 187cVfWpf6Q_100_110 Helicopter 594 | BNNXdQqlTos_30_40 Singing,Cello 595 | OMUTf4IC8ME_240_250 Speech,Dog 596 | FX6bTMXronQ_30_40 Violin_fiddle,Speech 597 | JquimytXI2U_160_170 Singing,Acoustic_guitar 598 | GQJ3-6ZBsfg_200_210 Basketball_bounce 599 | MChLOVodM5I_30_40 Speech,Dog 600 | 2WjjywPOwuE_10_20 Basketball_bounce,Speech 601 | KCO8lQDHBJg_30_40 Speech,Baby_cry_infant_cry 602 | Ak8WWYhJgJg_560_570 Motorcycle,Speech 603 | NrCNo4V7RVM_30_40 Lawn_mower 604 | JC09Z7ExipY_200_210 Acoustic_guitar,Speech 605 | DxvGKv2L6-8_100_110 Helicopter 606 | JyT48tiqJnI_30_40 Speech 607 | MeqqDSM5cPs_190_200 Helicopter 608 | CUKhEA5uKcA_180_190 Motorcycle,Speech 609 | LJPBzpoEJtw_30_40 Motorcycle 610 | 5GFWog3rkOo_190_200 Fire_alarm 611 | BDv3HBEvfnQ_30_40 Speech,Frying_(food) 612 | JBqeIeNcy2o_30_40 Speech,Baby_cry_infant_cry 613 | Gx1wfTlFui8_0_10 Speech,Dog 614 | I8SDFfuMux8_30_40 Helicopter 615 | CBw20AYBM80_40_50 Chainsaw 616 | 8MMDd9rzl8o_20_30 Helicopter,Car 617 | Cd83_t4iAgc_450_460 Chicken_rooster 618 | 3_MU0ugzqKI_16_26 Motorcycle 619 | DYq0gklkL0I_110_120 Vacuum_cleaner 620 | OYAjIJa6FlM_60_70 Dog 621 | 2kdeC1hA1hc_26_36 Chicken_rooster 622 | FRz7ssK6R6M_30_40 Basketball_bounce,Speech,Cheering 623 | DG89TFpzMmg_20_30 Vacuum_cleaner 624 | CKQECxflk-o_220_230 Speech,Frying_(food) 625 | BMmI8Z-L_iY_80_90 Speech,Dog 626 | P6MHkI3K3PI_250_260 Blender 627 | O7sBZWqwHig_30_40 Violin_fiddle,Speech 628 | GJaybsizzm4_30_40 Cat,Speech 629 | 3JYZ7Ge0ETE_27_37 Car 630 | 5zLQNFQ2cFI_220_230 Singing,Banjo,Cello,Acoustic_guitar 631 | OzCzfRutK8A_10_20 Speech,Dog 632 | ADWJi2_29s8_10_20 Blender 633 | Nuwo-hdr__k_10_20 Helicopter 634 | 0wQpnBSQ4fY_350_360 Speech,Frying_(food) 635 | JcunMsOU1g8_10_20 Chicken_rooster,Speech,Motorcycle,Car 636 | I4hjMMPWBAg_10_20 Accordion 637 | Di13sZqVF4A_480_490 Singing,Speech,Cheering,Clapping 638 | 5zLblkp2yOQ_50_60 Basketball_bounce 639 | 7yMXFUS0Vuo_6_16 Vacuum_cleaner,Speech 640 | JzgRjsuSkao_10_20 Speech,Dog 641 | D_p1yb7iJ6g_220_230 Singing,Speech 642 | BuQ4ojGRBSw_0_10 Speech,Dog 643 | C4WOpcGQfqU_50_60 Violin_fiddle,Speech 644 | A4gZxP3kJBE_100_110 Singing 645 | 9j9AUuseA2w_20_30 Speech,Dog 646 | 0g-L2iF5y9k_140_150 Speech,Clapping,Acoustic_guitar 647 | CBJX4okej6c_20_30 Speech,Dog 648 | CC0gtb7i0hU_40_50 Acoustic_guitar,Speech 649 | C-uNumeNFu4_30_40 Chainsaw 650 | 2j2c4g39q14_60_70 Cheering,Speech 651 | ECAkq_er0Qs_200_210 Cello,Violin_fiddle 652 | JgsbmMljkfU_40_50 Chicken_rooster 653 | CSl0919Ec8g_10_20 Acoustic_guitar,Speech 654 | F2ID7V1BQrw_70_80 Speech,Dog 655 | Ba_VHuQu4ec_50_60 Motorcycle,Speech 656 | C61p3UzHJlc_60_70 Frying_(food) 657 | 6GGL8uDytH8_70_80 Basketball_bounce 658 | 6D-xUCN0iHA_40_50 Cheering,Clapping 659 | 4IXRJOyWD1c_190_200 Singing,Cello 660 | HLqE4iEyOrU_430_440 Dog 661 | 5KPr4Na_STc_30_40 Lawn_mower 662 | 9jin237e_AU_280_290 Accordion,Acoustic_guitar 663 | NJQPNMG7dGw_30_40 Helicopter 664 | AbuQw1DeRnQ_30_40 Lawn_mower 665 | 7mg1TKMPh-c_20_30 Cello 666 | 5Ewue2D1aeo_80_90 Cello,Violin_fiddle 667 | 21-5dmhWaS0_1_11 Telephone_bell_ringing 668 | 0RFa3yJRuDg_80_90 Cheering 669 | 5OEgBmdTyJE_40_50 Chicken_rooster 670 | -0A9sun15YA_110_120 Speech,Car 671 | ERGfpSkxEv0_160_170 Basketball_bounce,Speech 672 | CyHIbBmPQD0_30_40 Violin_fiddle,Speech 673 | O_P92jTlmg8_0_10 Speech,Dog 674 | JNxMBpxAor4_10_20 Violin_fiddle,Speech 675 | I-yer--Q2jU_28_38 Motorcycle 676 | 2Ntn4KCnUqc_100_110 Singing,Cheering 677 | HPgh02VwZAI_17_27 Chicken_rooster 678 | FgEEN3Fh68Y_30_40 Speech,Dog 679 | Jf0uMVmb6fU_10_20 Singing,Acoustic_guitar 680 | 04I1mfPeAng_30_40 Speech,Car 681 | AFfPFQi8YLQ_30_40 Cello,Violin_fiddle,Speech 682 | 8ZkzbgrJHTE_20_30 Vacuum_cleaner 683 | I1KW_y86Ql8_90_100 Basketball_bounce,Speech 684 | IxUQZ_1JuFs_30_40 Speech,Clapping 685 | -2WeNked2Xs_30_40 Speech,Car 686 | GzN_gQyCOms_430_440 Singing,Speech 687 | 0elWYlc8shc_30_40 Car 688 | FFzJidrb2tg_0_10 Motorcycle,Speech 689 | 37JtYiS-_E4_90_100 Cello,Violin_fiddle 690 | 05pbHOqMVtg_140_150 Helicopter 691 | E_MoCeM_fgc_30_40 Cello,Acoustic_guitar 692 | KXQ0oFeq_8Q_10_20 Cello,Violin_fiddle 693 | HFhl6brdHVU_30_40 Motorcycle,Speech 694 | BEXsk2VELKg_300_310 Telephone_bell_ringing,Speech 695 | 2dBLvucCdj4_160_170 Speech,Baby_laughter,Cat 696 | ARZ9kIq_bhk_90_100 Singing,Clapping 697 | GTMj6EZjRAg_120_130 Speech,Frying_(food) 698 | 2z8v0R3dq44_20_30 Basketball_bounce,Cheering,Clapping 699 | 0zlncY7-wfY_320_330 Telephone_bell_ringing 700 | H3RNXY2UgTI_30_40 Acoustic_guitar,Singing 701 | J6w_jYtQWbk_30_40 Violin_fiddle,Speech 702 | 6gW-ALg2Tio_290_300 Lawn_mower 703 | 9nfvnaV-Myo_30_40 Violin_fiddle,Speech,Acoustic_guitar 704 | GmetnCLxFHE_40_50 Speech,Dog 705 | 96iNxFTbHVY_30_40 Speech,Accordion 706 | 0ehyZCP7iuQ_80_90 Vacuum_cleaner 707 | FmOBqP7psWU_40_50 Chainsaw 708 | CDEInOD9GH0_20_30 Helicopter 709 | NZqRiNeuko8_20_30 Cat,Speech 710 | 4jmv1XpnR90_50_60 Baby_laughter 711 | Nh-0sVtY4p8_18_28 Cat,Speech 712 | CTqzJt-Ri34_30_40 Singing,Acoustic_guitar 713 | IZbehUMEpxk_30_40 Violin_fiddle,Speech 714 | 3aHPlaGoyaA_30_40 Cheering,Speech,Clapping 715 | E3e3s0_2YBQ_40_50 Chicken_rooster,Speech 716 | OyR0xkg80-U_260_270 Singing,Speech,Cheering 717 | M_9pQR8IFRs_10_20 Cat,Speech 718 | EMgt1yfibCY_370_380 Helicopter 719 | 0W1sdHWIuAs_30_40 Dog 720 | I-snPee8KXM_30_40 Violin_fiddle,Speech 721 | G1Ef_w9jhE8_110_120 Banjo,Acoustic_guitar 722 | LcP8X-b4SmI_60_70 Vacuum_cleaner,Dog 723 | 9bxrcu7lY1s_22_32 Fire_alarm 724 | HqNElboqs94_220_230 Blender,Speech 725 | K6-BOCjkeBE_10_20 Violin_fiddle,Speech 726 | BH5P3f60ikk_30_40 Speech,Dog 727 | 2oBqMCzlIKI_50_60 Speech,Vacuum_cleaner 728 | 0SavSPZveDc_380_390 Speech 729 | 6e3aERe95fI_30_40 Cat 730 | FY35Jy_mzfU_110_120 Motorcycle,Speech 731 | GWvtgDdwoT0_0_10 Speech,Dog 732 | Dfr6DG6BEYQ_230_240 Singing 733 | N2PNOeYJB0c_30_40 Violin_fiddle,Speech 734 | 0rrQS9Nt48s_180_190 Frying_(food) 735 | I4x9bRtdjI4_30_40 Cello,Violin_fiddle 736 | FiQ6D89tciA_20_30 Singing 737 | HBCBTYMw93s_350_360 Cello,Violin_fiddle 738 | HNu8Dg0j7hY_570_580 Frying_(food) 739 | 8tA8F83juw0_120_130 Speech,Clapping,Singing 740 | 7XM4DfCbONg_210_220 Banjo,Violin_fiddle,Speech,Cheering,Clapping,Acoustic_guitar,Cello 741 | Li6s-vk_GQs_20_30 Lawn_mower,Speech 742 | 0o-DD4GwohU_110_120 Vacuum_cleaner 743 | Cm7EoUFnLbU_30_40 Chainsaw 744 | 69MAvVQQlVo_120_130 Chicken_rooster 745 | MUv54DuYKBs_20_30 Helicopter 746 | JiaubxT6-fs_20_30 Speech,Dog 747 | 1SVwE8mtUG8_290_300 Chainsaw,Speech 748 | N4-YgaGOAYQ_30_40 Violin_fiddle,Speech 749 | IULwH9sT3R8_30_40 Speech,Vacuum_cleaner 750 | 6pzE3TgR2u8_20_30 Helicopter 751 | ENQBXODItVI_100_110 Basketball_bounce,Speech 752 | I89oTOuj1Ew_10_20 Speech,Dog 753 | DiGDeiWzYdc_30_40 Baby_cry_infant_cry 754 | MELS2_bSaNU_80_90 Violin_fiddle 755 | AxvN5SDWZ74_30_40 Speech,Clapping 756 | 2Lv-dLVRsaI_30_40 Speech,Car 757 | LJ-oWEBfvME_220_230 Vacuum_cleaner 758 | 5xWHm9t_yAo_30_40 Violin_fiddle 759 | C_jegfW0R8U_60_70 Helicopter 760 | MrIfjRInMLU_0_10 Baby_laughter 761 | N4sW3gpEzfU_70_80 Chainsaw 762 | 1v8tkB9u7DI_10_20 Fire_alarm,Speech 763 | EsEJh7JuX-0_110_120 Banjo,Violin_fiddle 764 | 9sS6MHbcO7A_200_210 Singing 765 | GlucbS373WI_30_40 Lawn_mower 766 | GZx7ykInfR4_30_40 Violin_fiddle,Speech 767 | JV95Op42JXk_10_20 Speech,Clapping 768 | BSuuvLgxclA_30_40 Chicken_rooster 769 | ARlOo2FqCfA_6_16 Chicken_rooster 770 | CULZ1SLVGss_10_20 Speech,Dog 771 | 14lfcY6CwZY_30_40 Speech,Car 772 | 2okJDQuTVF4_30_40 Helicopter 773 | 71MwJKnUfUI_190_200 Singing,Acoustic_guitar 774 | 5-2Tt3g6A8c_310_320 Helicopter 775 | HLyZ9WSj8Ew_30_40 Singing 776 | Ekko7wPyl0E_90_100 Speech 777 | 1asrcrzsvuo_160_170 Blender,Speech 778 | AuriFQYfJbY_30_40 Violin_fiddle,Speech 779 | MjGmx90Za_M_10_20 Accordion 780 | OGw7IRDLu4w_12_22 Cat,Speech 781 | EgvAozAo-sU_160_170 Singing,Speech 782 | GOa3javNa-8_570_580 Frying_(food),Speech 783 | KDNnpxD4lWU_60_70 Speech,Dog,Baby_laughter 784 | A5FY5XmRC_k_21_31 Violin_fiddle,Speech 785 | DGSV4gjn94I_280_290 Cello,Violin_fiddle 786 | IU36VhygUGY_0_10 Lawn_mower,Speech 787 | FqVYB3Z63uI_210_220 Frying_(food),Speech 788 | NMo2M0rO8Ag_30_40 Helicopter 789 | 18Upv_ZinJ0_90_100 Vacuum_cleaner,Speech 790 | DzZYpUrrqzY_120_130 Speech,Dog 791 | Eejf2Tw0Tpc_30_40 Speech,Dog 792 | 28WMzKS8Mvg_40_50 Vacuum_cleaner 793 | ORMBTAJOTQQ_30_40 Cello,Violin_fiddle 794 | 8WynfF2pI18_30_40 Speech,Baby_laughter,Chainsaw 795 | KBiCMiP4eNw_30_40 Violin_fiddle 796 | GSaAFfWgeb4_30_40 Chicken_rooster,Speech 797 | M7jTWJYmgAc_30_40 Speech,Baby_cry_infant_cry 798 | ICZwwC37gsE_30_40 Cello 799 | 1W1G5xI6fdE_21_31 Speech,Car,Singing 800 | 0JAGPDtKZ68_350_360 Cheering,Speech,Clapping 801 | M-EPKxTNfbQ_70_80 Chicken_rooster 802 | 7X1_j3XrgnA_30_40 Telephone_bell_ringing 803 | DZouIJT89m4_30_40 Violin_fiddle,Speech 804 | MsXnQIFU1Ek_30_40 Cello,Violin_fiddle 805 | ABF9u7YgQL0_110_120 Accordion 806 | 9bQ50h0Tyws_200_210 Singing 807 | DLKDQyjlmMc_30_40 Speech,Baby_cry_infant_cry 808 | DPCf8taGIGw_30_40 Cello,Violin_fiddle,Acoustic_guitar 809 | 6_ADEY85YME_110_120 Blender 810 | B5WupLl29jI_40_50 Cat,Speech 811 | LbQ1CDjxy0w_40_50 Speech,Dog 812 | KliVsEcJ1Do_130_140 Speech,Baby_laughter 813 | CUpj8e4vfr0_10_20 Vacuum_cleaner 814 | HxvLp4XAYM0_30_40 Lawn_mower,Speech 815 | D2-Rg8oftng_30_40 Speech,Baby_laughter,Cheering 816 | 7ukkbeEdBd4_20_30 Basketball_bounce,Speech 817 | A2ZSL40icvk_21_31 Speech,Dog 818 | 8rhDoGEvAtI_0_10 Singing,Banjo,Cello 819 | MnwwrlH3LOQ_90_100 Singing,Speech,Acoustic_guitar 820 | KojwdV9dkBU_120_130 Speech,Dog 821 | AFc7XA4aKxk_380_390 Cello 822 | HAwbu6oNapk_130_140 Singing,Speech 823 | K-t3vHYBnmE_30_40 Baby_cry_infant_cry 824 | 3TtTUhlMu7I_10_20 Basketball_bounce,Speech 825 | Oing7vmCDfk_0_10 Motorcycle 826 | 66s_MyBd47s_360_370 Speech,Frying_(food) 827 | E2KwdwAJtgg_140_150 Banjo,Cat,Dog 828 | MdmawJ_wleI_30_40 Cat,Speech 829 | HVDmckfsc4M_30_40 Baby_cry_infant_cry 830 | ANNIeZ6xhmM_30_40 Singing,Cheering,Clapping,Speech 831 | C_wzVkYrpMU_70_80 Helicopter 832 | Fygm03Gw19Y_30_40 Helicopter 833 | Fr0MofY-CVo_20_30 Speech,Dog 834 | C7RVL4aRnaM_7_17 Motorcycle,Speech 835 | Hw9Z6LEsJ6E_180_190 Singing,Speech,Accordion,Clapping 836 | KDN-h5yVWRw_25_35 Baby_cry_infant_cry 837 | Aulv3ps28cw_110_120 Acoustic_guitar,Speech 838 | BALWO0KXoYU_40_50 Speech,Clapping,Singing 839 | HqP_9D8m2_o_50_60 Singing 840 | 9_CJeverblQ_0_10 Speech,Dog 841 | HbhIIXh9b-U_280_290 Vacuum_cleaner 842 | FbGHcKNRUBc_18_28 Violin_fiddle,Speech 843 | 1S9eqzFk-IE_80_90 Helicopter 844 | FOEzt0IIaoU_0_10 Speech,Dog 845 | AEVDoAasepg_280_290 Singing 846 | 38_sexPaGyc_30_40 Speech,Car,Singing 847 | 9D87v_pEs88_0_10 Banjo 848 | OmgS8E_5N3U_280_290 Frying_(food),Speech 849 | Jxhxk43ruDk_140_150 Motorcycle,Speech,Car 850 | IkyrCy-ErUE_0_10 Chicken_rooster,Speech 851 | 1ErafvijpM4_10_20 Car 852 | KD141Cqf6Dg_130_140 Blender 853 | 052B1KqZNvc_30_40 Speech,Car,Singing 854 | NdSOBMWdj3g_120_130 Blender 855 | Muh79_vUNTc_110_120 Cello,Violin_fiddle 856 | A3g946O82S4_150_160 Singing,Speech,Cheering,Clapping,Acoustic_guitar 857 | EDYz3E4o5g0_200_210 Motorcycle 858 | 31ZR-LROPaE_30_40 Speech,Car 859 | JfKOvG5o6H0_0_10 Speech,Dog 860 | IjgCZlauTl8_40_50 Speech,Vacuum_cleaner 861 | CbxjZQPGjTs_370_380 Accordion 862 | Fc5SeWp7Ouo_20_30 Lawn_mower,Speech 863 | B6KL-BlnzAA_30_40 Speech,Dog 864 | 3T83pSxx7EY_50_60 Speech 865 | GJBUBAP_lf4_220_230 Singing,Clapping 866 | FX7m8rS8Ac4_11_21 Baby_cry_infant_cry 867 | 9XizawW_2-k_0_10 Speech,Clapping 868 | MS8ycgmIHxQ_30_40 Chicken_rooster 869 | -9ummbDsgFM_30_40 Chainsaw 870 | IkFw4fRxtDM_100_110 Singing,Cheering 871 | 2h_AK0OQ42o_30_40 Speech,Car 872 | FXcVh8Dbf0U_140_150 Singing,Cheering 873 | OEpENK6brCY_20_30 Chicken_rooster,Speech 874 | LTmnYdPxCaw_24_34 Helicopter 875 | BGoSFqLfyvI_40_50 Cat,Speech 876 | 4m4aH1ZE9gI_370_380 Banjo,Speech 877 | GiO1oSKGTxY_110_120 Violin_fiddle,Speech 878 | 6KgVhi8eYjc_30_40 Chicken_rooster 879 | C3qZuY0JRXY_40_50 Speech,Fire_alarm 880 | Clm-NuOPi1o_300_310 Singing,Banjo,Acoustic_guitar,Cello 881 | -9b-N3vQj2k_30_40 Cheering 882 | 2d8NZkctxm8_30_40 Speech,Car 883 | 2u1uhPJjG0E_130_140 Frying_(food),Speech 884 | 2RtDgTm6rn4_30_40 Helicopter 885 | 9bohQsESuaU_20_30 Chicken_rooster,Speech 886 | 0yCFCh8e10Y_10_20 Vacuum_cleaner 887 | HXwYqGau-mk_230_240 Singing,Cheering,Clapping 888 | M1467mz9VK0_30_40 Violin_fiddle,Speech 889 | K53-32lDqsA_60_70 Singing,Cheering,Clapping 890 | 0fLcfpmn38I_30_40 Car 891 | D6nlkUpLEjc_30_40 Cello,Violin_fiddle 892 | KHVnB6XI7Q8_230_240 Singing,Acoustic_guitar 893 | ClDte4kdW6E_0_10 Accordion 894 | LcFWKgFphXI_20_30 Clapping,Clapping 895 | 9jrgVZRr_ls_30_40 Acoustic_guitar,Speech 896 | Bo8UOutX7mQ_170_180 Cello,Violin_fiddle 897 | EN50BTjjnrs_8_18 Speech,Baby_cry_infant_cry 898 | E_BDly6VGzk_30_40 Speech,Baby_cry_infant_cry 899 | 5hExI3Kf6bw_30_40 Accordion 900 | AOoF-NIAFbQ_30_40 Acoustic_guitar,Speech 901 | 6zGSFN2LhRQ_30_40 Accordion 902 | 9fp-9qML6j0_0_10 Blender 903 | 4ChZLTftwsM_140_150 Singing 904 | 1VJRQfad9RM_30_40 Car 905 | -r6BtXuCdH0_50_60 Speech,Clapping 906 | EGgx22VQP-I_240_250 Acoustic_guitar,Speech 907 | 1A6dFiD40qk_30_40 Car 908 | BptEwHEF3_U_40_50 Singing 909 | K20ST5Eksz4_20_30 Acoustic_guitar,Speech 910 | Cv2a2uZKn2E_120_130 Singing 911 | OtdtxDfCEpI_40_50 Chicken_rooster,Speech 912 | NDlK1ogSENw_16_26 Speech,Baby_cry_infant_cry 913 | JMLZAxGosWI_220_230 Frying_(food),Speech 914 | Lw-mExSqCok_0_10 Helicopter,Clapping,Cheering,Chicken_rooster 915 | 7CMYwP1EvKM_60_70 Motorcycle 916 | Ky-u1jW0bLw_10_20 Clapping,Cheering,Speech 917 | 9YWr88Wvw28_60_70 Vacuum_cleaner 918 | 0tL1Mc95WyY_3_13 Car 919 | 1F93M55BYbM_3_13 Car,Motorcycle 920 | G3pBZO5zFrE_340_350 Blender 921 | JLvE6qp2wU0_50_60 Cello 922 | BGfHJ80IBA8_30_40 Helicopter 923 | AQh9Zek1q8k_170_180 Helicopter 924 | BE4v9ixDwmA_30_40 Acoustic_guitar,Speech 925 | KNY4yu5-7kg_143_153 Speech,Fire_alarm 926 | GRGvhudh9s0_30_40 Helicopter 927 | 3GzSX64mz9A_120_130 Frying_(food),Speech 928 | 3K0ud-1Qk9c_60_70 Banjo,Violin_fiddle 929 | NiBG3iiTIl4_40_50 Speech,Dog 930 | DQf3Ti20erk_530_540 Acoustic_guitar,Speech 931 | NageMZSe7OE_30_40 Cello,Violin_fiddle 932 | NxK6b5u54kU_390_400 Dog 933 | AYm8GkIxGGM_30_40 Acoustic_guitar,Speech 934 | HG8nmD-CHVQ_0_10 Singing,Speech 935 | AwHupnbzjOU_10_20 Motorcycle,Speech,Car 936 | Mgbg7X2pByE_270_280 Speech,Frying_(food) 937 | 9lB-VgsK7EE_0_10 Speech,Dog 938 | Emc7WAjMfF8_20_30 Singing,Speech 939 | 01zSTM-3yjk_10_20 Vacuum_cleaner,Speech 940 | BoQbqWnU4c0_70_80 Vacuum_cleaner 941 | I-rFaDJCgyo_80_90 Accordion 942 | 0p9ClF5DXNo_160_170 Vacuum_cleaner,Cat 943 | JcCvdDhZmOo_190_200 Speech,Frying_(food) 944 | Gu8zGt0iK7A_30_40 Violin_fiddle,Speech 945 | MWNEee5N6SM_9_19 Cat,Speech 946 | Fc6gHCtf-Kc_0_10 Singing,Speech 947 | 86eQxmsjwM4_310_320 Vacuum_cleaner 948 | EeoyscjnXrg_160_170 Lawn_mower,Speech 949 | H8FPgLh1mfg_50_60 Speech,Dog 950 | 5YUfq2YeYdI_30_40 Chainsaw,Speech 951 | LMKzjvc93sA_30_40 Frying_(food) 952 | NS3brbiBM-4_30_40 Speech,Clapping,Cheering,Car 953 | CkmRxFYDHBU_210_220 Speech,Frying_(food) 954 | 7CcA8xdUah4_120_130 Dog 955 | 0QPnouN3Hq8_30_40 Speech,Car 956 | 1efQ-Expp4s_50_60 Speech,Vacuum_cleaner 957 | 6_SAEk6LzLc_0_10 Cello 958 | 5u9QqiB08Fg_10_20 Accordion 959 | 6TweVTyp6a4_30_40 Cheering,Speech,Clapping 960 | BJQf1e61WlQ_30_40 Violin_fiddle,Speech 961 | 5JBkO-Dyuis_0_10 Basketball_bounce,Cheering,Clapping,Speech 962 | IXmenNs7MpI_10_20 Chicken_rooster 963 | HsShknbuIK4_0_10 Cat,Speech 964 | 1ZVbRLM2isw_30_40 Helicopter 965 | Gw4emZzJtzo_90_100 Frying_(food),Speech 966 | AjZ1Yaz-540_28_38 Chainsaw 967 | ETLXmqQFcBM_300_310 Singing,Accordion 968 | McK4y6_znE4_240_250 Motorcycle,Speech 969 | 2MCyHJKRLYA_20_30 Singing,Cheering 970 | 1easzswv0OM_130_140 Blender,Speech 971 | CLQ9jFeb0pQ_13_23 Speech,Baby_cry_infant_cry 972 | ISwSxZmWM24_170_180 Basketball_bounce,Speech,Clapping,Cheering 973 | H96RpfYiBNU_10_20 Singing,Banjo,Acoustic_guitar,Violin_fiddle 974 | Eh63MlTra_U_160_170 Singing,Acoustic_guitar 975 | -2syn_PlJA8_40_50 Singing 976 | A7AV1P4R3eY_130_140 Chicken_rooster 977 | DIV2w0lpHgM_27_37 Chicken_rooster,Speech 978 | 0Fc42_i3G80_100_110 Vacuum_cleaner 979 | BafIZkvv6SE_30_40 Singing,Speech,Acoustic_guitar 980 | DH3NHfO5k4s_20_30 Singing,Acoustic_guitar,Clapping 981 | 4-LmoEML4vQ_440_450 Cello,Violin_fiddle 982 | F4eHCGEr1_A_70_80 Cello,Violin_fiddle 983 | CY0DQixJ2s4_0_10 Singing,Speech 984 | 3u96MxfeTVU_90_100 Singing,Banjo,Acoustic_guitar,Cello 985 | KFdPDpr62i0_190_200 Lawn_mower 986 | JR09cQfpjqE_30_40 Violin_fiddle,Speech 987 | 3sZMw6BdA1Y_30_40 Baby_cry_infant_cry 988 | IVtnMeVpN1w_560_570 Acoustic_guitar,Speech 989 | HHuHETn8hHA_50_60 Singing,Clapping,Acoustic_guitar 990 | E7XaZtFSiZA_60_70 Speech,Dog 991 | BkUdwj5JR0Q_20_30 Blender,Speech 992 | KP2H8e3MDBg_0_10 Cat,Speech 993 | FCTPUd9iYHc_130_140 Speech,Dog 994 | Dcx8IgLXtKw_30_40 Violin_fiddle 995 | EKMWyHlCzok_30_40 Blender 996 | BCfEC6kZ1KQ_180_190 Cello,Violin_fiddle,Acoustic_guitar 997 | 4LrIrsf0-RQ_60_70 Cheering,Speech,Basketball_bounce,Clapping 998 | 38QzYOWXjM4_21_31 Speech,Car 999 | BxcRx_aNnxY_0_10 Telephone_bell_ringing,Speech 1000 | GUprpVDR2Hg_80_90 Cello,Violin_fiddle 1001 | -3zSILamaBM_16_26 Chainsaw 1002 | LOXiJnA8M1Q_70_80 Frying_(food),Speech 1003 | B5sUXUHm5l8_30_40 Cheering,Clapping 1004 | OrZKKcO1SQw_30_40 Cello,Violin_fiddle 1005 | FeC3GFT1GFk_180_190 Chicken_rooster 1006 | 49SBSn_Vbn8_30_40 Baby_cry_infant_cry 1007 | E-TphCWQpWk_30_40 Cat,Speech 1008 | 3AZw1zRDdcE_170_180 Speech,Frying_(food) 1009 | 0ezR24_jTDA_70_80 Basketball_bounce,Speech 1010 | IABUo0b5tpc_30_40 Speech,Dog 1011 | 18ga5cnUrmk_80_90 Speech,Frying_(food) 1012 | 2vUXdUrqSj0_70_80 Singing,Cheering 1013 | 9ryLmLuBy0M_270_280 Chicken_rooster,Speech 1014 | CqfeA4ZiWg4_70_80 Speech,Dog 1015 | C59ePDyEDbU_30_40 Clapping,Singing 1016 | AG3Zo17HM0M_120_130 Speech,Cheering 1017 | 6eT3o01nEmo_30_40 Cello,Violin_fiddle 1018 | IDGj7JyTS2w_10_20 Speech,Dog 1019 | E0P9OfvzBpY_30_40 Cat,Speech 1020 | L9ft4YFUFmc_90_100 Motorcycle,Speech 1021 | 0ULOk49bHkI_180_190 Speech,Car 1022 | NFZ0U84FQ24_30_40 Lawn_mower,Speech 1023 | 3ZKpXIV8Bx8_210_220 Accordion 1024 | P48JilRIyjc_30_40 Violin_fiddle 1025 | O8jf3XyhkkY_30_40 Cat,Speech 1026 | M0SxS0glJDU_180_190 Speech,Accordion,Violin_fiddle 1027 | 7zsq2Qtue18_30_40 Violin_fiddle 1028 | 28c_azOmujY_20_30 Vacuum_cleaner 1029 | 0gJPpZXeGms_10_20 Dog,Car 1030 | 4si49U1zha4_30_40 Clapping,Singing 1031 | JU78MHJ3bHc_10_20 Speech,Dog 1032 | 9dhQzk0Nrcc_30_40 Violin_fiddle,Speech 1033 | A2QANb6eVOk_18_28 Speech,Clapping 1034 | E88iyzlzuLs_330_340 Speech,Dog 1035 | 7JD8chF_SJY_0_10 Basketball_bounce,Speech 1036 | Jj3vSp0UYYk_30_40 Helicopter,Speech 1037 | 7LViMtUpw8Q_40_50 Helicopter 1038 | FCnSVLG31Yg_120_130 Blender,Speech 1039 | MlCY7E5IYbo_20_30 Acoustic_guitar,Speech 1040 | A6JssUPm4Eg_20_30 Chicken_rooster,Speech 1041 | 49zutSfmZ2o_90_100 Singing,Acoustic_guitar 1042 | 1vdboF6KhB0_30_40 Speech,Car 1043 | CSADwKB1Y5E_100_110 Singing,Banjo,Acoustic_guitar,Violin_fiddle 1044 | GLqZio7In10_30_40 Accordion 1045 | AgNLukhkI9A_40_50 Singing,Speech,Cheering,Acoustic_guitar 1046 | HArFBr_65N4_90_100 Singing,Clapping 1047 | 0eaafXX-pPE_30_40 Speech,Baby_laughter 1048 | 8MqTPaJRLXU_30_40 Clapping,Singing 1049 | ERjtCDLt4sQ_20_30 Cello,Violin_fiddle 1050 | OW-iRCDVysg_30_40 Speech,Baby_cry_infant_cry 1051 | LcKlInyt_d4_10_20 Vacuum_cleaner 1052 | 0ZAR-Tbrv3s_150_160 Singing 1053 | AQpmpzgr6cI_220_230 Fire_alarm,Speech 1054 | 3CBZqO2vioI_150_160 Cheering,Singing,Clapping 1055 | Fxb_iCsmqAM_30_40 Acoustic_guitar,Violin_fiddle 1056 | 9kPBS_0Entg_30_40 Acoustic_guitar,Speech 1057 | D9AngpPyRRg_0_10 Singing,Speech,Cheering,Acoustic_guitar 1058 | J1r2298msAc_30_40 Basketball_bounce,Speech 1059 | 4F6dZyeUQ7o_0_10 Chicken_rooster 1060 | F6-hgd5vlOY_250_260 Basketball_bounce,Speech 1061 | 7_MjnPGZb3g_30_40 Speech,Fire_alarm 1062 | AjxSwEBhzmw_120_130 Singing,Speech,Acoustic_guitar 1063 | A-OeFhnlam4_30_40 Cat,Speech 1064 | EioAuS-NZcM_30_40 Speech,Baby_cry_infant_cry 1065 | 4zNMPXFMT90_0_10 Accordion 1066 | 0kAaPH2wrvM_140_150 Vacuum_cleaner,Speech 1067 | 2TIrLDa9ilo_90_100 Singing 1068 | 3F3bbl6t2_g_30_40 Acoustic_guitar,Violin_fiddle 1069 | AwZvBmQ6a48_50_60 Cello 1070 | ItmMVkEzs4E_50_60 Singing,Banjo 1071 | J1jvG3qD8K4_30_40 Speech,Dog 1072 | 6agI5a-5TGY_270_280 Vacuum_cleaner 1073 | CEFdqhSm4rk_10_20 Fire_alarm 1074 | KdIrYOmwm3M_150_160 Accordion,Car,Motorcycle 1075 | BSaCSGuS8_8_200_210 Motorcycle,Speech 1076 | LXXHu4LCMU0_310_320 Cello,Violin_fiddle 1077 | 3nW0Dj2dOFo_70_80 Speech,Dog 1078 | Nfg19Upom8A_0_10 Lawn_mower 1079 | EIy2hSlwqMg_540_550 Singing,Speech,Cheering,Clapping 1080 | 9ltErwU9WZE_0_10 Cat,Speech 1081 | Godz5tRIaRU_30_40 Helicopter 1082 | Kl7OB6fk26c_50_60 Speech,Dog 1083 | GWFmUCizdfA_4_14 Helicopter 1084 | HLTZISEUndk_6_16 Chicken_rooster 1085 | 2S5nRkhDT9M_240_250 Accordion 1086 | IopckGXSIIU_550_560 Basketball_bounce,Speech 1087 | Ng0IR-V8t9k_7_17 Speech,Dog 1088 | PAsI01GRYlY_30_40 Chicken_rooster,Speech 1089 | 5cHQC4DrdtE_10_20 Basketball_bounce,Speech 1090 | 3qFOzgoWALk_90_100 Baby_laughter 1091 | JFhegixCl3U_240_250 Cheering,Speech 1092 | N1cTKfsnr0c_30_40 Speech,Baby_cry_infant_cry 1093 | 5M8JlZNtw0w_20_30 Vacuum_cleaner 1094 | OPYtTs1AOAw_110_120 Helicopter 1095 | KDLQygmUohg_30_40 Violin_fiddle,Speech 1096 | 94WKpc0i-hE_80_90 Helicopter,Speech 1097 | FY1hsJpoBF4_250_260 Motorcycle,Speech 1098 | KvIjsmANkxI_10_20 Cat,Speech 1099 | GxWqSdrwF34_30_40 Singing,Clapping 1100 | NhFBf-RKxnE_10_20 Motorcycle,Speech 1101 | EHj1VEogUxE_30_40 Accordion 1102 | DNZHSSyAH3Y_310_320 Singing,Cheering 1103 | C3c2gejSvtk_30_40 Acoustic_guitar,Speech 1104 | AmsZlVPWqGw_460_470 Helicopter 1105 | E5dctPO-Kqs_140_150 Helicopter 1106 | LuChwFtVLpI_30_40 Lawn_mower 1107 | Db6ysxwfK9M_530_540 Singing,Speech,Clapping 1108 | Lw4uqIDhAa4_30_40 Violin_fiddle,Speech,Singing 1109 | EX7HfmSYTQI_30_40 Violin_fiddle,Speech 1110 | 5M-KlyJmQPE_310_320 Lawn_mower,Speech 1111 | 5G6b_QWL3nY_60_70 Frying_(food),Speech 1112 | -5uuZRObZH4_8_18 Speech,Car 1113 | OP1HwnpjoX8_30_40 Speech,Dog 1114 | Ok0jiYLIXEc_80_90 Accordion 1115 | 13jJ1DHgJgI_30_40 Car 1116 | BZCgbtdNH6Q_30_40 Chainsaw 1117 | Ii_Tnig05Dk_300_310 Speech,Vacuum_cleaner 1118 | JCwLITKpcZ8_220_230 Speech,Dog 1119 | 9k9LKIdgLZc_14_24 Chicken_rooster,Speech 1120 | GTfbkrPPJjg_30_40 Baby_cry_infant_cry 1121 | 9tygoBHyE3k_200_210 Vacuum_cleaner,Speech 1122 | AD7kjeu67-8_10_20 Chicken_rooster 1123 | LT23oUPcU_s_30_40 Speech,Dog 1124 | 6Q9a3JnuDaA_220_230 Speech,Fire_alarm 1125 | LmSXOOzCXu0_30_40 Speech,Vacuum_cleaner 1126 | EzEsxYLJL7U_70_80 Singing,Banjo,Acoustic_guitar 1127 | 1eLSrZhUwCM_30_40 Speech,Car 1128 | Ocm-towtqRA_30_40 Violin_fiddle 1129 | Ma5OotVwCh0_100_110 Helicopter 1130 | 8DIUi5fzTSI_50_60 Accordion,Acoustic_guitar,Violin_fiddle 1131 | Dt_hRwowOnw_120_130 Acoustic_guitar,Speech,Clapping 1132 | 1sF3r4jqCKI_30_40 Acoustic_guitar,Violin_fiddle 1133 | FWyDVYWc0t0_160_170 Singing 1134 | Fhhi2v1P5tE_90_100 Vacuum_cleaner,Dog,Speech 1135 | NnGM88daFDU_30_40 Cello,Violin_fiddle 1136 | Ad4ze1PME68_20_30 Speech,Baby_laughter 1137 | DCp8wxSBoiY_30_40 Speech,Dog 1138 | G39FPqIZkAA_5_15 Helicopter 1139 | EqBP9Dblf5c_0_10 Singing,Accordion,Speech 1140 | Kz7Ohbt6r-I_30_40 Speech,Baby_cry_infant_cry 1141 | Gtie98Go8Wc_10_20 Motorcycle,Speech 1142 | FI20VBtlwLM_40_50 Chicken_rooster,Speech 1143 | K06Ihpg5d4s_60_70 Cello,Accordion 1144 | K-VmpXAYU6M_80_90 Basketball_bounce,Speech,Clapping 1145 | KhxzuPjDjBc_50_60 Singing,Banjo,Acoustic_guitar 1146 | HzNp3NEuxt8_30_40 Helicopter 1147 | Ke2-q_gw7-A_270_280 Acoustic_guitar,Speech 1148 | HN_VZs7ldns_20_30 Singing,Speech 1149 | IJtLxh3lMKA_0_10 Cat,Speech 1150 | 1vQbUPX0-TY_140_150 Banjo,Speech,Singing 1151 | FideUHWF5-4_50_60 Blender,Speech 1152 | MouGuIgIaXQ_120_130 Accordion,Singing 1153 | JdYxbaszdxs_30_40 Acoustic_guitar,Speech,Cello 1154 | P8OY0pQgFjQ_50_60 Helicopter,Speech 1155 | 1jxqWh8kOgI_140_150 Helicopter,Car 1156 | F4cn9ZkEX9E_490_500 Basketball_bounce,Speech,Clapping 1157 | LWlCh2pONQI_20_30 Singing,Acoustic_guitar 1158 | DePQjGiGpSs_570_580 Cello,Violin_fiddle 1159 | AiWLZmYCQzM_450_460 Cello,Violin_fiddle 1160 | K7O_jfofE6w_0_10 Motorcycle,Speech,Car 1161 | 1FKNzvUjZPw_30_40 Helicopter 1162 | JHxFlpU4aZg_100_110 Frying_(food),Speech 1163 | F3w-4MFXP0E_30_40 Helicopter 1164 | 957DUIy6yfE_30_40 Motorcycle 1165 | Myu_pzGwbB4_90_100 Singing,Speech 1166 | NbXrdnw7tjM_180_190 Accordion 1167 | M1XqFQOvBMA_0_10 Chicken_rooster,Speech 1168 | 6g2aFcP1a_Q_28_38 Chicken_rooster 1169 | JTbensAt_SE_120_130 Cat 1170 | 1PflWBiH0m4_10_20 Car,Motorcycle 1171 | 3UKgtbHjTBo_60_70 Singing,Acoustic_guitar 1172 | ARgsWq_PBQo_40_50 Speech,Dog 1173 | Ox-X4TyoLCw_120_130 Blender,Speech 1174 | Byy_qXehUG4_170_180 Singing 1175 | OP7wbUmwMc8_30_40 Speech,Dog 1176 | Jhls1-RQlTo_560_570 Acoustic_guitar,Speech 1177 | AiHdOvuvNnc_260_270 Acoustic_guitar,Singing 1178 | CngsPppEunk_10_20 Baby_cry_infant_cry 1179 | HJwb4hoo0YI_0_10 Speech,Dog 1180 | EKjQ9a_1rj0_30_40 Violin_fiddle,Speech 1181 | 1O0nWgEa8_w_30_40 Speech,Car 1182 | EB0Ot7SSwkc_20_30 Speech,Dog 1183 | L2jP-VQExGk_6_16 Baby_cry_infant_cry 1184 | 0dZis656VIo_30_40 Speech,Car 1185 | EQJO_SCdev0_50_60 Accordion 1186 | MY2PFDV_S2s_140_150 Singing,Speech,Acoustic_guitar 1187 | DWZvTMIn89k_0_10 Speech,Accordion 1188 | 0PxvBPOjDKI_30_40 Chainsaw 1189 | 9sgHs7OaASA_110_120 Speech,Dog 1190 | 3Ck0ZBJRPDk_50_60 Accordion,Speech 1191 | 00m3AbSa21M_550_560 Blender,Speech 1192 | 2uYwx8DBmLc_140_150 Blender,Speech 1193 | 8w6sRjVYkow_30_40 Violin_fiddle 1194 | JS8o6eWh268_140_150 Cello,Speech 1195 | HHPykWws12s_30_40 Speech,Clapping 1196 | O5zoP2HCbCk_5_15 Chicken_rooster,Speech 1197 | 3D8mfbjSp4w_8_18 Speech,Car 1198 | 2UmXe6lOblE_30_40 Speech,Car 1199 | NVQZFDf335Y_200_210 Cello 1200 | MmBKiw43TZg_30_40 Speech,Dog 1201 | KWdhwfzfppg_260_270 Cello,Violin_fiddle,Accordion 1202 | -------------------------------------------------------------------------------- /data/AVVP_val_pd.csv: -------------------------------------------------------------------------------- 1 | filename event_labels 2 | 4O9rI-FpqLg_10_20 Cheering,Speech,Clapping 3 | 8sfcMZ8A3OQ_180_190 Frying_(food),Speech 4 | JGdkVx81S-k_20_30 Blender 5 | 9ggKWjpQPeQ_0_10 Speech,Dog 6 | BRtGk2YmdJ0_20_30 Speech,Baby_laughter 7 | 6mWz9fxXO7s_490_500 Chainsaw,Speech 8 | 6TX5z51nhvQ_30_40 Accordion,Speech 9 | LzgeBj-P29Q_30_40 Violin_fiddle,Speech,Cheering,Clapping 10 | FLYjmRy39_g_10_20 Lawn_mower 11 | LYadFGHyPow_350_360 Chainsaw 12 | EwTLLwJtDyo_180_190 Singing,Acoustic_guitar 13 | P8saKKI43tA_20_30 Vacuum_cleaner 14 | 1PW3CB-gkHk_30_40 Car 15 | AsY6Bqnp8I0_590_600 Motorcycle,Speech,Car 16 | GvCEvNg0a9w_30_40 Speech,Dog 17 | FHgIDw8rGtA_150_160 Motorcycle,Speech 18 | 5bS6ZvqET4U_210_220 Singing,Acoustic_guitar 19 | FzpI8ggObiE_280_290 Violin_fiddle 20 | 2uNBP5Bm2to_30_40 Speech,Car 21 | Ep3yRHFevHo_0_10 Basketball_bounce,Speech 22 | Lnpe9u8cF50_90_100 Accordion,Singing,Acoustic_guitar 23 | 7yeWLEus7OI_80_90 Blender 24 | AErPqu3A5SI_250_260 Speech,Dog 25 | Cyi2fuiswx8_27_37 Speech,Baby_cry_infant_cry 26 | -9D8GR2VBKE_40_50 Speech,Frying_(food) 27 | C1Gy-TCPU1k_30_40 Helicopter 28 | IBdAV36uQCg_0_10 Singing,Speech 29 | OWrp89_xwVw_80_90 Acoustic_guitar,Singing 30 | CnXeNxV7se0_20_30 Cello,Violin_fiddle,Acoustic_guitar 31 | DS_kzdgXoV4_30_40 Accordion 32 | 8hkevfLlY6U_70_80 Accordion 33 | 1eOhQvtQHm0_160_170 Blender,Speech 34 | 7bPt8dhIAiU_120_130 Vacuum_cleaner 35 | J6cBf-yBto0_140_150 Blender 36 | FXM8uAh3nS8_70_80 Chicken_rooster,Speech 37 | 6puZFsJvC64_70_80 Banjo,Clapping 38 | GE8GjxkhqJQ_170_180 Singing 39 | GEoZoRyYc1Q_90_100 Baby_laughter,Speech 40 | 5jKH6UTb7sw_30_40 Banjo,Speech,Clapping,Acoustic_guitar 41 | GJbpzOoDmO4_210_220 Cello,Violin_fiddle,Singing 42 | HxPdX8caIaM_10_20 Cheering,Speech 43 | GkjMWXHp0Ek_150_160 Blender,Speech 44 | 0QXKGC5bXno_30_40 Cello,Violin_fiddle 45 | 1NAoH6dROvo_30_40 Cheering 46 | KXZXHrLBpPo_350_360 Acoustic_guitar,Speech 47 | Jcn4AhTKLuk_120_130 Motorcycle,Speech,Car 48 | 9cwBZS6IoQE_29_39 Chicken_rooster,Dog 49 | 84OQA_JJHPY_390_400 Accordion,Singing 50 | 3xgysBvOy6s_280_290 Speech,Clapping 51 | EbMfK3MVPYU_0_10 Telephone_bell_ringing 52 | AuxLUHyzMoQ_30_40 Speech,Dog 53 | FHvhhlwmJ3A_20_30 Lawn_mower,Speech 54 | FwODSWGmEdY_80_90 Speech,Dog,Car 55 | AK9paigQCcA_70_80 Speech,Baby_laughter 56 | 7hspZOznOIM_0_10 Telephone_bell_ringing,Speech 57 | 0Ft06J1FdAo_420_430 Cheering 58 | FR4em-G3gfo_30_40 Vacuum_cleaner,Cat 59 | -3G-bs5JaW8_100_110 Vacuum_cleaner 60 | 5eAw9Pp6dHk_260_270 Cello,Violin_fiddle 61 | 0lEavQUSRO4_410_420 Speech,Frying_(food) 62 | JRavR1Wdnp0_0_10 Baby_cry_infant_cry 63 | O9d8Yg9H0BQ_30_40 Cello,Violin_fiddle 64 | 55GEs-yyOXc_80_90 Basketball_bounce,Speech 65 | 7ECzsh5EkP8_30_40 Chicken_rooster 66 | CmjceF4lpVg_150_160 Helicopter 67 | LE3ux-hbUEg_160_170 Speech,Dog 68 | EmJch5XooOQ_0_10 Vacuum_cleaner 69 | GilJAJTcmo8_13_23 Speech,Baby_cry_infant_cry 70 | D0kNXqg7Kcw_20_30 Chainsaw 71 | N6JTpk6UdgQ_30_40 Violin_fiddle,Speech 72 | 7Cqk1_yMgkE_30_40 Clapping 73 | B_xS6aJj_Jc_30_40 Cheering,Speech 74 | 78yrwc9y1ik_10_20 Baby_cry_infant_cry 75 | DwzBJ19O0CI_60_70 Speech,Dog 76 | 403Hzy9-EsY_550_560 Cheering,Clapping,Speech 77 | HJZUFlrj2xk_0_10 Motorcycle 78 | 3RIFPfcoHEM_20_30 Basketball_bounce,Speech 79 | 9LloUO5C7do_50_60 Accordion 80 | 9H1fa9-f3q0_420_430 Frying_(food) 81 | DiBzz6M9cUk_30_40 Cello,Violin_fiddle 82 | 4zPHNzZiZlU_280_290 Singing,Acoustic_guitar 83 | OaJuXaA7tp8_30_40 Cello,Violin_fiddle 84 | Eo_FyQjui1k_10_20 Helicopter 85 | M1xbDGcD284_30_40 Baby_cry_infant_cry 86 | OAzPNdL-wQI_480_490 Helicopter 87 | FR0cOQrzaWQ_280_290 Singing,Acoustic_guitar 88 | CBAdaQsnfmQ_60_70 Singing,Banjo,Acoustic_guitar 89 | FtvApi4UlEM_30_40 Acoustic_guitar,Speech,Singing,Clapping 90 | 0dVXlandefw_4_14 Speech,Car 91 | An2wy6lxaVQ_290_300 Singing 92 | Ek8XKK6LE6Y_30_40 Vacuum_cleaner 93 | 6PKKgaQgm1g_90_100 Chicken_rooster 94 | H0j1eqsKVEw_120_130 Singing,Speech 95 | CIx729pLHGk_30_40 Speech,Dog 96 | 7y0E-IeaZBE_30_40 Chicken_rooster 97 | Kw-PLfbmjvQ_30_40 Helicopter 98 | 3MO-mchYrHA_30_40 Car 99 | GpPcLJ0b40o_140_150 Singing,Banjo,Acoustic_guitar 100 | 7YChvLYpyUk_30_40 Cat,Dog 101 | I--0mnbN4JI_10_20 Lawn_mower,Speech 102 | C0_NDX7DVd8_30_40 Chicken_rooster,Speech 103 | 4ANSBlG1pfs_60_70 Speech,Vacuum_cleaner 104 | G2jkaWZrsjE_310_320 Singing,Speech 105 | LxFenjME4NQ_0_10 Helicopter,Speech 106 | DGeCOmJq0Ow_70_80 Acoustic_guitar,Speech 107 | AGdT1gXPouk_200_210 Frying_(food),Speech 108 | 2yanV6gJNV0_0_10 Speech,Car 109 | 9IfN8dUgGaQ_30_40 Chicken_rooster,Cat,Dog 110 | 0qx_L11zBAY_30_40 Cello,Violin_fiddle 111 | 3YypZ-SiVjM_30_40 Helicopter 112 | O0tHJP8wnRc_70_80 Singing,Speech,Clapping 113 | Hky1DDrf23A_30_40 Cat,Speech 114 | Lpc7Ws6PSfg_2_12 Baby_cry_infant_cry 115 | 8h3tlcPyqwc_40_50 Basketball_bounce,Speech,Cheering,Clapping 116 | LO_DK-3poPg_130_140 Singing,Speech 117 | LBbDtEE9l2Q_18_28 Cat,Speech 118 | 2UZmUuUPqr8_90_100 Frying_(food),Speech 119 | GTxET6TlBRM_30_40 Speech,Baby_cry_infant_cry 120 | 8nfl_0VXMZs_30_40 Acoustic_guitar,Violin_fiddle 121 | 0zAFUHzL5kU_23_33 Speech,Car,Cheering 122 | 9rtvuHifBEY_30_40 Chicken_rooster,Speech 123 | LMqpXcUyLTU_0_10 Speech,Baby_cry_infant_cry 124 | Mj3zLi9jRjI_30_40 Cat,Speech 125 | 7g3idUTE1KM_30_40 Speech,Clapping 126 | DDVbCC9GbGE_50_60 Singing,Cheering 127 | GY-a6Wh7o_g_60_70 Motorcycle,Speech 128 | 8WLIDa9U9Ug_340_350 Cello,Violin_fiddle 129 | AE4ZaQMa2BE_30_40 Chicken_rooster,Speech 130 | OgMQvYOyH4s_30_40 Speech,Vacuum_cleaner 131 | NHs8LJTwrRU_13_23 Speech,Baby_cry_infant_cry 132 | 7USy-jxSsUg_30_40 Baby_cry_infant_cry 133 | 3KwxaHZD2yU_220_230 Cheering,Clapping 134 | BrH-NJpiTOo_90_100 Chicken_rooster,Speech 135 | F7CqvjjkHyA_30_40 Cat,Speech 136 | KMEisCK2xjQ_30_40 Violin_fiddle,Speech 137 | FdbtgaHTI9o_200_210 Helicopter,Speech 138 | NBFMvfX_yWA_180_190 Violin_fiddle,Speech 139 | ITP2x6GZGOw_180_190 Frying_(food),Speech 140 | 1RJsIRC9sVg_30_40 Car 141 | IiOj18HpE8E_30_40 Chainsaw 142 | 9_Pe-wbbehQ_10_20 Fire_alarm 143 | EggoG-tK9C0_0_10 Cat,Speech 144 | 0l4rszJ8M9E_90_100 Banjo,Violin_fiddle 145 | 0iS6S7e_j8Q_20_30 Clapping,Singing 146 | Of_01ci6ErU_20_30 Speech,Dog 147 | 3aO1wVxQhUk_590_600 Speech,Clapping,Cheering 148 | 07QDI50hlec_50_60 Vacuum_cleaner 149 | AMVvfK6Px8Y_280_290 Singing,Violin_fiddle,Speech 150 | 9ui9IiwF6w8_180_190 Frying_(food),Speech 151 | OYnra-ve09E_30_40 Chicken_rooster,Speech 152 | CFc2Ex8rFr8_460_470 Cello 153 | NBfoeB2u52c_30_40 Speech,Baby_cry_infant_cry 154 | EBCrVc6b7xI_120_130 Accordion 155 | JurJCOlwHnI_30_40 Motorcycle 156 | 7oPED09nVAk_100_110 Singing,Acoustic_guitar 157 | Fdp9dfnaLuY_30_40 Violin_fiddle,Speech 158 | 2U6WeaRLEds_140_150 Blender,Speech 159 | A-PigXQWChs_30_40 Helicopter 160 | 2UjAPgJudZU_100_110 Speech,Car 161 | H74oGbW1sw8_10_20 Cello,Speech 162 | 4sXCFq_FrPo_100_110 Banjo,Speech 163 | 7eO9zH2KCC4_30_40 Acoustic_guitar,Violin_fiddle 164 | B8CXFCBwBxs_540_550 Speech,Vacuum_cleaner 165 | 050iiMJKE20_180_190 Chainsaw,Speech,Helicopter 166 | 1ZDVv5aNQfk_30_40 Car 167 | 5PRDmll4w5g_60_70 Speech,Frying_(food) 168 | PAoRcQiNJGI_10_20 Cheering,Speech,Clapping 169 | P6xxuZnRHXM_150_160 Singing,Acoustic_guitar 170 | HuaiNWPbTFE_20_30 Chicken_rooster 171 | 0gmLAVhaTKE_5_15 Car 172 | 6fgxUTmkGmA_90_100 Basketball_bounce,Speech 173 | Dk9Db7pUggU_120_130 Singing,Acoustic_guitar,Speech 174 | 6dvq5W-9D04_30_40 Chicken_rooster 175 | OqoCNCPb1Fg_60_70 Cello,Violin_fiddle 176 | 7Z9KzMO4hbM_180_190 Telephone_bell_ringing,Speech 177 | 6pHtlOXBxTI_30_40 Cheering,Speech 178 | A2k8DsBeCvc_40_50 Chicken_rooster 179 | BHLdOTsouJw_30_40 Banjo,Speech 180 | 9-grzj23Bos_0_10 Violin_fiddle,Singing 181 | F-TRR1Qgo9g_90_100 Basketball_bounce,Speech,Clapping,Cheering 182 | BbDf0ZKc4zA_30_40 Speech,Dog 183 | AaITIVxmm2w_120_130 Accordion 184 | JHZgrp0pMaM_0_10 Vacuum_cleaner 185 | FpnKchSo3VE_160_170 Motorcycle,Speech,Singing 186 | 1ypY7k2Biao_90_100 Acoustic_guitar 187 | DptWWXVlKHw_40_50 Speech,Fire_alarm 188 | 530yiQ7x99E_570_580 Blender,Speech 189 | CYwI2Yo3eYs_60_70 Motorcycle,Speech 190 | NHPWU9bKcc4_210_220 Cello,Violin_fiddle 191 | Ke5YRnqT94o_130_140 Vacuum_cleaner 192 | 9osfCQTKjOY_70_80 Singing 193 | DQ3ZFO2RP04_14_24 Speech,Dog 194 | 2GfYNfKtpK0_30_40 Chainsaw 195 | Lke5mGYGlNE_20_30 Telephone_bell_ringing,Speech 196 | DHW0GEDee0k_20_30 Accordion,Speech 197 | 35Id1r22ypE_30_40 Car 198 | 9fcxPwWzDM0_30_40 Accordion 199 | 0J3OzIVLnEI_50_60 Chicken_rooster 200 | DgElEEFPRaE_570_580 Blender 201 | AtHewToyLTc_21_31 Speech 202 | H8_q1ovRwv8_90_100 Speech,Dog 203 | 7KzioU2hP7M_150_160 Violin_fiddle 204 | ESvhM605xUk_70_80 Singing 205 | 9dFgCv-R7i0_0_10 Speech,Dog 206 | FjtO-xQD_To_30_40 Cat,Speech 207 | 0lpXFLNGM5E_130_140 Car,Speech 208 | 0bNb6oHg1_w_21_31 Speech,Car 209 | 0T4gZQwzyKY_30_40 Cheering 210 | 22CHirhbaOg_30_40 Baby_cry_infant_cry 211 | EOeWgyrX-q8_30_40 Speech,Vacuum_cleaner 212 | 4tnW9atZKo0_30_40 Cello,Violin_fiddle 213 | 7Vfb0lpJkpU_50_60 Vacuum_cleaner,Speech 214 | FgCtqIgZlkU_30_40 Speech,Baby_cry_infant_cry 215 | B4Q6N08yhp8_80_90 Vacuum_cleaner,Speech 216 | 2VBTz0clX0U_60_70 Singing,Violin_fiddle,Cello 217 | CghIWk1nhts_70_80 Singing 218 | GtiLAXlEZvU_40_50 Singing,Speech,Acoustic_guitar 219 | GxBAyAeGJFk_40_50 Singing 220 | ArVDnCbQ6mU_30_40 Helicopter,Speech 221 | 15qmhCMftso_70_80 Accordion,Violin_fiddle 222 | Njs1QZwQ5jM_21_31 Baby_cry_infant_cry,Dog 223 | MTOS1YA9cjI_30_40 Speech,Baby_cry_infant_cry 224 | 33SlPXN3NPk_0_10 Chainsaw 225 | 5a_l3dBvgFM_30_40 Telephone_bell_ringing,Speech 226 | Mo-Z_28McaI_90_100 Baby_laughter 227 | GB93d-uKICQ_310_320 Speech,Dog 228 | KHeMI0Qmnqg_110_120 Vacuum_cleaner 229 | 8x96WxsrPxE_30_40 Cheering 230 | KWqZGTZQUwA_110_120 Lawn_mower 231 | 2Lg4zowpNxE_30_40 Vacuum_cleaner 232 | A_rpqF8NTh8_40_50 Singing 233 | 6mBfajqi1pg_560_570 Vacuum_cleaner 234 | B4FiW4xiK0Q_30_40 Acoustic_guitar,Speech 235 | FC8HlNb6iFE_0_10 Motorcycle,Speech 236 | 7Y0xgnuuFW4_21_31 Speech,Clapping 237 | HJfi8BlRNYk_30_40 Helicopter,Speech 238 | 4rYS7GAZNVg_18_28 Cheering,Clapping,Speech 239 | 8sW11oczLM4_10_20 Helicopter 240 | FwGq6BRGWns_40_50 Speech,Dog 241 | 43JvH6ly2rc_240_250 Singing,Acoustic_guitar 242 | GjoLR-sdj78_280_290 Acoustic_guitar,Speech 243 | DR8HpVUhdbA_11_21 Motorcycle 244 | Ae6pZjdGfRY_30_40 Chainsaw,Speech 245 | -14BFlDzjS4_6_16 Speech,Car 246 | Nh3YTYgtEJs_180_190 Acoustic_guitar,Speech 247 | O1n-pt3waz8_30_40 Vacuum_cleaner 248 | 0R-2iLl0dXg_100_110 Singing 249 | F9kNX3zLB04_6_16 Speech,Baby_cry_infant_cry 250 | LAVr291jgR8_210_220 Speech 251 | 5sXb7q-ek7I_60_70 Clapping 252 | C1fKe7KDd3g_30_40 Cello,Violin_fiddle 253 | FB5g9CP-M6w_30_40 Dog,Speech 254 | CDPXjPKsRMc_50_60 Speech,Dog 255 | C9dQ03e94ig_30_40 Motorcycle 256 | 1BgsmndYANA_27_37 Speech,Car 257 | GsNgBm53CGw_250_260 Speech,Acoustic_guitar 258 | 0eAGbJEQhJ8_0_10 Speech,Car 259 | 1Qcxwho5ZLQ_30_40 Accordion 260 | A_ehwKZ-sBc_0_10 Speech,Dog 261 | EMDr5DqtfwY_30_40 Helicopter,Speech 262 | 6-2SCYUDBZw_30_40 Vacuum_cleaner 263 | CVti4WjWXcQ_30_40 Speech,Vacuum_cleaner 264 | H-zboGVCulQ_250_260 Singing 265 | 6bmJLRXrH-g_11_21 Telephone_bell_ringing,Speech 266 | 0oUbMWJgokM_170_180 Speech,Frying_(food) 267 | J8sZgIgUv6A_30_40 Violin_fiddle,Speech 268 | EWA0puztuCE_50_60 Helicopter 269 | 2NRDi8g-6Qk_200_210 Fire_alarm 270 | 5XPkYYaXgLc_230_240 Basketball_bounce,Speech,Cheering 271 | OTattrwc_Qc_300_310 Basketball_bounce,Speech 272 | Hn5l7jGoTuc_100_110 Singing,Speech 273 | 54Ool76D12Q_70_80 Speech,Vacuum_cleaner 274 | EuWGmg8MBxw_160_170 Speech,Dog 275 | B47e2vDCzgI_50_60 Cello,Violin_fiddle 276 | 4-b0IdcVTqw_20_30 Cheering 277 | B6qzrmrFOms_100_110 Singing,Speech 278 | 2macpFUgV7g_70_80 Speech,Fire_alarm 279 | CmzO2WG_rK4_10_20 Helicopter,Speech 280 | 18eo1PeY1KM_0_10 Basketball_bounce,Speech 281 | MT0Bxc0nkLc_120_130 Speech,Dog 282 | 6m9RSmLeC6M_40_50 Fire_alarm 283 | IGPYTFL2vd4_20_30 Motorcycle,Speech 284 | 9qeBzzC27PE_300_310 Lawn_mower 285 | HaFqd2SZezE_20_30 Dog 286 | BaUfQOf2U6w_110_120 Acoustic_guitar,Speech 287 | -0bNnlJmBM0_30_40 Speech,Car,Chicken_rooster 288 | IUuUEvOBMIs_140_150 Violin_fiddle,Speech 289 | EaYQInm5Q14_240_250 Cello,Violin_fiddle 290 | 0ioAyzjtiZI_30_40 Car 291 | JIT9v30weXs_20_30 Speech,Dog 292 | 7mrVq35XPrk_330_340 Vacuum_cleaner,Speech 293 | M2UMpS30jRA_30_40 Speech,Baby_cry_infant_cry 294 | DmfGwmAWqK0_210_220 Basketball_bounce,Speech 295 | 8yZnLF45mgs_100_110 Singing,Speech 296 | I35Xp8ugqj4_30_40 Violin_fiddle,Speech 297 | 7uXeXKxHQ6A_300_310 Lawn_mower 298 | M0viHJ8hTxE_70_80 Basketball_bounce,Speech 299 | LFW5265aG4w_30_40 Car,Speech 300 | OaXr8Ns_o9g_80_90 Vacuum_cleaner 301 | GXdiEb8fkVQ_30_40 Accordion,Speech 302 | Fg765IwFFms_50_60 Vacuum_cleaner 303 | CNhHSTH60FE_30_40 Violin_fiddle,Speech,Singing 304 | NTFPgBw8PlU_18_28 Baby_cry_infant_cry 305 | AfBK1v5Llss_8_18 Violin_fiddle,Speech 306 | BkuBZMpG9XU_120_130 Singing,Speech 307 | E4ZkcNYUHfg_210_220 Singing,Speech,Clapping 308 | 5IDCyA2GDgs_30_40 Blender 309 | E6vpA7p7ebI_190_200 Helicopter 310 | IGaYfRj5dJQ_460_470 Cheering,Speech,Clapping 311 | KoKy3bC91cg_1_11 Baby_cry_infant_cry 312 | GlBya1JAQCE_0_10 Singing,Speech 313 | OUoplkiyF54_30_40 Acoustic_guitar,Violin_fiddle 314 | DEJPptjl7KA_23_33 Baby_cry_infant_cry 315 | FE0C4xy3YRo_30_40 Violin_fiddle,Speech,Banjo,Cello 316 | LrWwi0-wcrg_30_40 Chainsaw 317 | N8o5qLz5974_10_20 Speech,Dog 318 | Bd2nhNf9Tp8_240_250 Vacuum_cleaner 319 | JZ82xaUBcIY_470_480 Speech,Fire_alarm 320 | NAkYzdSLN44_30_40 Basketball_bounce,Speech,Clapping,Cheering 321 | 5Ut2Ji8FdMw_30_40 Cheering,Speech 322 | IAq7bVGH_zg_90_100 Singing,Speech 323 | HLSZ-Me0hgg_510_520 Basketball_bounce,Speech 324 | J_uk2QJ9T_M_190_200 Motorcycle,Speech,Car 325 | 48iqWuaAkSU_140_150 Cello,Violin_fiddle 326 | 6TRJu1kHIJY_10_20 Helicopter 327 | IwpvkdsO12s_230_240 Frying_(food),Speech 328 | E3bKVGHsA7I_30_40 Baby_cry_infant_cry 329 | KW2B-Rv8bjs_30_40 Cat,Speech 330 | Hln9D0soCes_420_430 Banjo,Speech 331 | Ki5FZjVfs7s_190_200 Speech,Dog 332 | JCVDz4BeWTg_30_40 Violin_fiddle,Speech 333 | 8OHjU9PCt7Y_0_10 Basketball_bounce,Speech 334 | L_NiIDd9qQQ_110_120 Speech,Dog 335 | IN_sIxaaRsY_380_390 Cat,Speech 336 | 3kUHtnaD2-Y_0_10 Basketball_bounce 337 | Mte4VJKUkWQ_240_250 Singing,Cello 338 | LbVxnuv3Ebw_130_140 Motorcycle,Speech 339 | 3-Zuj5gO60g_5_15 Dog 340 | 3zWX4iDWwTE_30_40 Basketball_bounce,Speech 341 | H1u4PtqVFMg_370_380 Speech,Baby_laughter 342 | BUq7YBMxHc4_30_40 Speech,Dog 343 | HzzJAWWJ-pQ_30_40 Violin_fiddle 344 | DAF5KEULuGo_230_240 Motorcycle,Speech 345 | DZb5LThmhQw_30_40 Violin_fiddle,Speech 346 | HZGkfYuEh7w_100_110 Helicopter,Speech,Clapping 347 | Im1UwtffSmY_30_40 Speech,Dog 348 | 2QB4g9ZeJmw_60_70 Cheering,Clapping 349 | GKZvKWwrDcE_30_40 Speech,Clapping 350 | 8H9V40ek4q8_30_40 Violin_fiddle 351 | CwUtBoBqSYY_30_40 Helicopter,Speech 352 | H_dVhOw7p64_80_90 Accordion,Speech 353 | C9RkVD1AgtU_60_70 Frying_(food) 354 | Kqjqdx-jfMw_180_190 Blender,Speech 355 | BLi6DZmr_fU_30_40 Speech,Dog 356 | Nox8PbNaydY_60_70 Singing,Speech 357 | AyZOG94lAXc_10_20 Speech,Dog 358 | AUuZYQpKvPE_80_90 Baby_laughter 359 | FKjHrCvqJL0_170_180 Singing 360 | EuQ6qqoAdUE_290_300 Blender 361 | 9D5aLKo92Sw_160_170 Chicken_rooster 362 | 06xprMsre2M_80_90 Blender,Speech 363 | 2vqn1vRl-No_30_40 Chainsaw 364 | GTrzjZECYKI_50_60 Accordion 365 | 6Ix6axuXbnA_470_480 Vacuum_cleaner 366 | 9nwPHX0NlUQ_30_40 Speech,Baby_cry_infant_cry 367 | HEi4GzCQCfc_350_360 Speech,Clapping 368 | IPAPtsik2uU_0_10 Cheering,Speech 369 | Dk4YYDzk6v4_140_150 Singing,Speech 370 | It4a2G-gbPQ_40_50 Singing,Acoustic_guitar 371 | AV-l8lEdUvI_30_40 Chicken_rooster,Speech 372 | GIo3jkn2bt0_30_40 Violin_fiddle,Speech 373 | 6SgzzYG-B1Q_30_40 Chicken_rooster 374 | 41TTeZMRpzs_30_40 Speech,Dog,Vacuum_cleaner 375 | OOw5CoIgV00_30_40 Accordion,Violin_fiddle 376 | ElcySYXYtew_10_20 Singing,Cello,Acoustic_guitar,Accordion 377 | NIlaWJiRnOQ_19_29 Frying_(food),Speech 378 | EMsdkma5MU8_30_40 Speech,Vacuum_cleaner 379 | LGeLv_bEBSA_420_430 Cello,Violin_fiddle 380 | 3dKj3OZw7OY_60_70 Basketball_bounce,Speech,Cheering 381 | LNGPfZsCqKY_18_28 Helicopter 382 | 8aDEqlAiLoo_140_150 Singing 383 | 435H0Ai36E4_40_50 Vacuum_cleaner,Dog 384 | BtjZjdUqzvY_4_14 Chainsaw 385 | 0_MLIPfb84s_30_40 Acoustic_guitar,Violin_fiddle 386 | K4SxwnI3EE4_70_80 Speech,Dog 387 | LH_cTOUJPhU_330_340 Blender,Speech 388 | 9w88_e0QLIw_30_40 Violin_fiddle,Speech 389 | BbB_Gks17K0_50_60 Speech,Fire_alarm 390 | CxtwZM-7k1M_80_90 Motorcycle,Speech 391 | AO15xf8M-N0_20_30 Speech,Dog 392 | BXVhuHTAels_100_110 Acoustic_guitar,Speech 393 | 5FmalezMAls_13_23 Cheering,Speech 394 | Kqa-iC4cuMs_370_380 Speech,Vacuum_cleaner 395 | 7rYjAdnb3CA_20_30 Car,Speech 396 | 1TzFK50oG_g_0_10 Car 397 | KL4uiNB7lMA_150_160 Vacuum_cleaner 398 | NDcJ3G22W0w_60_70 Basketball_bounce,Speech 399 | FTA0TnNtGlM_10_20 Fire_alarm 400 | DWV1qTrO7Bs_180_190 Singing,Speech 401 | BYEYNxKvij4_70_80 Singing,Cello,Acoustic_guitar 402 | E509105txOk_130_140 Helicopter,Speech 403 | 7rUcPOjvtXc_0_10 Singing,Acoustic_guitar 404 | EDJ-vOyHFNE_20_30 Speech,Clapping 405 | JKdmCnXxlKA_30_40 Chainsaw 406 | EbB_904ZztM_150_160 Acoustic_guitar,Speech 407 | 1FkR8wkSGU8_30_40 Speech,Car 408 | KFNee9YkgVI_17_27 Baby_cry_infant_cry,Speech 409 | 1DqXuuPiPho_240_250 Singing,Violin_fiddle 410 | Cg6Rryw1zls_140_150 Cello 411 | LlWf9r1ziZk_30_40 Violin_fiddle,Speech 412 | 3v7q1xTR2LQ_30_40 Baby_cry_infant_cry 413 | Gb2iX2TZ5v8_290_300 Speech,Frying_(food) 414 | BAYF00tB5mA_0_10 Speech,Vacuum_cleaner,Baby_laughter 415 | AIN9E2dwVtg_30_40 Banjo,Speech 416 | J1SkRrovroE_170_180 Basketball_bounce,Speech,Clapping 417 | MoZc4IsdhiU_20_30 Helicopter 418 | KXumlH_SF5Y_100_110 Helicopter,Speech 419 | CFODHCyurtc_140_150 Singing,Accordion 420 | EdSlrD3HGk8_110_120 Speech,Dog 421 | 5er9MoTAogc_10_20 Baby_cry_infant_cry 422 | 95Sd0Vy9vRg_40_50 Singing 423 | LDXGQBKnIkU_14_24 Lawn_mower,Speech 424 | DJDxBH4Bb2I_100_110 Basketball_bounce,Speech 425 | H0EAcUmwbMs_30_40 Accordion 426 | 3IVP5Gna8sI_30_40 Speech,Car 427 | ID7NdijmMvE_90_100 Banjo,Speech,Acoustic_guitar,Cello 428 | 7LjcPsua1Vw_170_180 Violin_fiddle 429 | J3YTzD0N_kw_20_30 Singing,Speech 430 | EikptOF21-s_30_40 Cat,Speech 431 | K-_lKMeitkU_200_210 Blender,Speech 432 | 5Q2UcVku9-E_150_160 Speech,Vacuum_cleaner 433 | 14ekd4nkpwc_28_38 Baby_cry_infant_cry 434 | NZVSQRzo48o_30_40 Violin_fiddle,Speech 435 | CSuoHEFbWVs_100_110 Violin_fiddle 436 | 2jzZGsHGIGg_30_40 Speech,Car,Motorcycle 437 | A2VKrhHv3R8_200_210 Speech,Baby_laughter 438 | Msme_HbKIik_30_40 Accordion 439 | DhFVH7Dvz8A_30_40 Helicopter 440 | Gtyp2DtLehs_10_20 Cat,Speech 441 | GgiYd4ZgsQA_50_60 Dog 442 | Dr4GrylmP9M_390_400 Telephone_bell_ringing 443 | L-42QHWGyJU_370_380 Basketball_bounce,Cheering,Speech 444 | 5JFecNRvbog_150_160 Lawn_mower,Speech 445 | 8jSXancacwQ_30_40 Lawn_mower 446 | EE6x3fRHk7M_20_30 Speech,Dog 447 | 0sqE1PT9w4E_0_10 Singing 448 | CKexU9L_lpE_20_30 Helicopter,Speech 449 | GmxS8d0B1QE_20_30 Speech,Dog 450 | 3-BAZ9IRM1s_530_540 Vacuum_cleaner 451 | KbeILnzvciI_30_40 Violin_fiddle,Speech 452 | 2UuUxUmhugo_0_10 Chainsaw 453 | 29-VHfXrz7E_30_40 Cat 454 | KaNCiByIxx0_130_140 Chicken_rooster,Speech 455 | 0BtXezW-VGI_10_20 Cheering 456 | 1FlvObIkYvo_10_20 Speech,Car 457 | 31iv4K9G_4E_30_40 Speech,Car 458 | HlFvWY0asH4_40_50 Basketball_bounce,Speech 459 | 1cpo-8IgL2c_120_130 Cheering,Clapping 460 | Eoc5RJc83Iw_60_70 Motorcycle,Speech,Cheering,Clapping 461 | NorHGeReG2s_10_20 Singing,Speech 462 | BzwjKmH0J-o_130_140 Singing 463 | 0yleWcyPyx0_210_220 Lawn_mower 464 | 00v4G1YbJAE_30_40 Lawn_mower,Speech 465 | LfJH5_vbZuk_170_180 Cat,Speech 466 | DwUr_EwHswo_40_50 Singing,Speech 467 | B3yC2M_tgHQ_30_40 Lawn_mower,Speech 468 | 6FviyjRjgnc_60_70 Lawn_mower,Speech 469 | K4CrCEHGnwU_10_20 Speech,Dog 470 | BO7DUflFfIc_30_40 Cat,Speech 471 | EybwVFGORSo_370_380 Speech,Fire_alarm 472 | -7yHd8yVL7o_10_20 Car 473 | I3nMKP3u2Wc_30_40 Helicopter 474 | ICNjHa1pF0g_80_90 Basketball_bounce,Speech,Cheering 475 | 6EeyngaELKA_0_10 Blender 476 | KV4CpfKk7FY_30_40 Acoustic_guitar,Speech,Singing 477 | KL7xOvr3Bxw_0_10 Violin_fiddle 478 | CJ81qB9p4UM_30_40 Cheering,Speech 479 | 585sVgKWYHg_130_140 Blender 480 | J7H-6clOB-M_0_10 Singing,Acoustic_guitar 481 | NyxZOJpXWF4_30_40 Violin_fiddle 482 | AAcHfp8Ls9c_30_40 Acoustic_guitar,Speech 483 | 37whM1O5Yy4_130_140 Basketball_bounce,Speech,Clapping 484 | KMhuOpxiU5Y_0_10 Speech,Dog 485 | 4R29rXTkzOU_90_100 Cheering 486 | BP4Z8KmDLHw_25_35 Chicken_rooster,Speech 487 | Gus-voUdc1U_30_40 Accordion 488 | GREbxPMiiFU_30_40 Violin_fiddle,Speech 489 | MqMKjrKRXmI_30_40 Baby_cry_infant_cry 490 | 8nb6g-GBj7I_60_70 Speech,Clapping 491 | -2YWkWhIVtQ_30_40 Car 492 | DD0iSzxHJ_Q_0_10 Helicopter 493 | FbcZx5syfXE_0_10 Helicopter 494 | AuM1rU__KQA_360_370 Blender 495 | P5wB7xTZRR8_130_140 Singing,Speech 496 | 8DF2PxdT5tE_390_400 Basketball_bounce,Cheering,Speech 497 | NokSF2SXqA8_30_40 Violin_fiddle,Speech 498 | 20ysZc0Bp5o_10_20 Chicken_rooster 499 | 8hcEJYEwAME_0_10 Chicken_rooster 500 | OJjDafCVsP4_70_80 Speech,Dog 501 | FRzVTWTQyI8_50_60 Speech,Dog 502 | 2jQwv1d0DyU_30_40 Vacuum_cleaner 503 | FbJMtOawkAo_20_30 Cat,Speech 504 | 7OhK3f4X1VQ_7_17 Car 505 | 08GFUY-gH68_30_40 Cheering,Speech,Clapping 506 | 19jWnmYnlD8_30_40 Violin_fiddle 507 | KZbA2DuNLYM_23_33 Baby_cry_infant_cry 508 | 7LVqHbJ6N1E_90_100 Helicopter,Car 509 | FcRPORGNLdA_200_210 Speech,Vacuum_cleaner 510 | FGnW2s4nrYU_60_70 Clapping,Speech 511 | 2ax04zihcPo_140_150 Accordion 512 | 12-uDhDhWOk_30_40 Car 513 | Bcmnnc3dNGw_30_40 Motorcycle,Speech 514 | Hd4Lrewto7Q_20_30 Accordion 515 | Jhgm6EjninI_20_30 Cheering,Speech 516 | IvxMdjfSvQQ_12_22 Speech,Baby_cry_infant_cry 517 | FImr2xBfqTs_30_40 Cello,Acoustic_guitar 518 | GMbYPPN6SNk_90_100 Cello,Violin_fiddle 519 | 051ZmzJgOiQ_200_210 Speech,Car 520 | AX1jRw5DVO0_190_200 Chicken_rooster,Speech 521 | KZhSh9lwAoI_20_30 Speech,Baby_laughter 522 | KCOHsYmUa20_190_200 Accordion 523 | 2jb3oGyRnWg_30_40 Speech,Car 524 | MZVInVyY90o_20_30 Lawn_mower 525 | 0mKRXJhlMb0_120_130 Chicken_rooster 526 | I6Drk3QmQn8_60_70 Speech,Dog 527 | CN8vnC7zyhw_220_230 Speech,Dog 528 | GBJGRSP2JFg_20_30 Violin_fiddle,Speech 529 | 6KfCKGRBxRc_30_40 Cheering,Singing 530 | -7tDh-UQR7Q_50_60 Cello,Violin_fiddle 531 | M7mcD0npbjI_50_60 Basketball_bounce,Speech 532 | 99WdRkgJC1Y_140_150 Chicken_rooster 533 | IzJtqrr3_4o_30_40 Chainsaw 534 | GG5XSsexHGk_370_380 Speech,Fire_alarm 535 | BbiDC4kHcpY_0_10 Violin_fiddle,Speech,Cello 536 | DG2eXe5Xrp0_30_40 Violin_fiddle,Speech,Clapping,Acoustic_guitar 537 | M_Bk6sPg7O4_10_20 Speech,Dog 538 | 4bSKwakkWIE_0_10 Chicken_rooster 539 | 14xiJ2TAfI0_430_440 Speech,Clapping 540 | Np6XrFtNBY4_160_170 Speech,Dog 541 | NM6U_DyP_0o_30_40 Frying_(food),Speech 542 | CVV6bhSYphc_550_560 Frying_(food) 543 | Ow2ooQlgGV4_420_430 Chainsaw,Speech 544 | 84vFdTtO2Vk_10_20 Speech,Baby_laughter,Dog 545 | MvlIx9Dlf7U_180_190 Blender,Speech 546 | 6pw5sDsjCio_100_110 Vacuum_cleaner 547 | 6BwASiY-tzU_21_31 Baby_cry_infant_cry 548 | 7MXZvu6cjuU_90_100 Basketball_bounce,Speech,Cheering 549 | E5mV1b1ol6Y_0_10 Singing,Speech 550 | 0AuRaeswC-8_20_30 Chicken_rooster,Speech 551 | 9jS1INXlQ1w_160_170 Singing,Clapping,Acoustic_guitar 552 | 1uy12CfHhDk_170_180 Singing,Acoustic_guitar 553 | OHMoNFP6n9g_20_30 Chicken_rooster,Speech 554 | BQmyfqCv4bc_40_50 Acoustic_guitar,Speech 555 | 6w0A1-5O9bI_70_80 Lawn_mower 556 | 0hE-lduyMng_150_160 Frying_(food) 557 | HUrt-wFxTEY_50_60 Baby_cry_infant_cry 558 | 1TsbyCeoZ_E_30_40 Speech,Car 559 | 9xszRnKqoTU_270_280 Singing,Speech 560 | CizC7WKKPjQ_30_40 Violin_fiddle,Speech,Cheering 561 | 3c70Lv8GH48_90_100 Singing,Acoustic_guitar 562 | Bvp91I4IJok_30_40 Acoustic_guitar,Speech 563 | 9NolcbOJZQo_30_40 Basketball_bounce,Speech,Cheering,Clapping 564 | 6Kj5byQcQ10_40_50 Cheering,Speech 565 | 4ejLeuJcmoQ_25_35 Helicopter 566 | 4nsff2073p4_80_90 Cheering,Singing,Clapping 567 | DsBUJquZ6po_0_10 Singing 568 | EI9OD8CKoYY_20_30 Chicken_rooster,Speech 569 | GJHdLtKI37w_10_20 Chicken_rooster 570 | ATecKAA7Ydc_130_140 Chicken_rooster 571 | Mc79pRPTjXw_10_20 Speech,Dog 572 | 74rZ_mljj18_90_100 Basketball_bounce,Speech 573 | 3oZLoVYIHFQ_50_60 Vacuum_cleaner 574 | KGxvfuRj444_160_170 Cat,Speech 575 | 6Iifhd-a9H8_120_130 Dog,Speech 576 | FoTOD4HkfAM_30_40 Speech,Baby_cry_infant_cry 577 | EUtpm8jPQes_0_10 Blender 578 | NoHGNjEB3Ss_60_70 Cello,Violin_fiddle 579 | GOtmAPjCWRA_30_40 Speech,Fire_alarm 580 | 3ERn2kwnfA4_2_12 Speech,Car 581 | 0kWsQAObBjo_30_40 Cheering,Speech,Clapping 582 | 2OJw3xGALI4_60_70 Vacuum_cleaner 583 | CoU--V817p4_40_50 Speech,Baby_laughter 584 | NjIY8G7o-cI_120_130 Helicopter,Speech 585 | 0A-Y2CvbVMs_30_40 Accordion 586 | 3zZ5Tsskz5I_200_210 Singing 587 | AEmpI-ntHpc_320_330 Singing,Speech 588 | OoPVYyMhuHQ_80_90 Singing,Speech 589 | DSwEi6cwPjM_170_180 Cello 590 | L2zidDxyBjw_220_230 Accordion 591 | 2i82jVZy1pk_100_110 Baby_laughter 592 | KxJCFboTYeU_60_70 Chicken_rooster 593 | 8a4Zec3h3LM_30_40 Vacuum_cleaner 594 | B4emRH8vbWQ_10_20 Helicopter,Speech 595 | BTrSKQ9EI4o_0_10 Acoustic_guitar 596 | 1BPMaFuSk5Y_12_22 Speech,Car 597 | 39KgkK23Zmk_0_10 Banjo,Speech 598 | 72xG8v65vOU_30_40 Cello,Violin_fiddle 599 | 3zt3Z3qEJvw_110_120 Basketball_bounce,Speech,Clapping 600 | 7SChBv97cmg_10_20 Chainsaw 601 | 9WzF78LNQYQ_180_190 Telephone_bell_ringing,Speech 602 | 0F2XPtG9pJM_30_40 Violin_fiddle 603 | 7Iwu2gczI1g_540_550 Helicopter 604 | HHO8LjlRIf4_30_40 Cat,Speech,Dog 605 | 5XyD3q9WOJQ_30_40 Accordion 606 | JgZCSNt7s2I_17_27 Violin_fiddle,Speech 607 | NkXfDQE9P70_50_60 Speech,Dog 608 | GzXz1u955mo_170_180 Acoustic_guitar,Speech 609 | Dx4O21IPz1c_80_90 Singing 610 | KHv3w-UiXeQ_20_30 Speech,Dog 611 | 8eR5kuvbjKA_30_40 Singing 612 | 2dih3AAlObo_10_20 Basketball_bounce,Speech 613 | 1XaDmkM-AAw_150_160 Acoustic_guitar,Violin_fiddle 614 | 7zAZVwxH9PM_550_560 Basketball_bounce,Speech 615 | NmpQX6IohMY_140_150 Acoustic_guitar,Banjo,Singing 616 | 3r9NflVxUQw_320_330 Blender 617 | CPkbvoDSkqs_40_50 Violin_fiddle,Speech,Acoustic_guitar 618 | J3MimBwsn_g_5_15 Violin_fiddle,Speech 619 | 5TpfTyEWr3k_70_80 Accordion 620 | BxU73eU3dEg_0_10 Motorcycle,Speech 621 | Js8vb6_jjR4_30_40 Chicken_rooster 622 | G3Szo_Im5rs_30_40 Accordion 623 | MTkN3EBB1uY_70_80 Banjo,Violin_fiddle,Singing,Acoustic_guitar 624 | GGr5RlDlG7U_90_100 Chainsaw,Speech 625 | JfjB3Tz3U_U_30_40 Motorcycle 626 | 0dhEeSX-59I_25_35 Car 627 | Cj8EEprq2pU_30_40 Speech,Baby_cry_infant_cry 628 | ABBJDDsYT68_30_40 Frying_(food),Speech 629 | F3NPz3dUJsI_30_40 Speech,Dog 630 | ARZFi1PaUko_30_40 Lawn_mower,Speech 631 | LGUdvF0PqC0_10_20 Cat,Speech 632 | IsKSYL5B-Us_10_20 Basketball_bounce,Speech 633 | HsFjrit3z4M_310_320 Singing,Clapping,Cheering 634 | Nszf2gBWruU_30_40 Chainsaw 635 | 2vxm0s-RdOY_260_270 Basketball_bounce,Cheering,Speech,Clapping 636 | MpWZU83HzL8_30_40 Helicopter,Speech,Car 637 | AD-m1uu7UhI_0_10 Singing,Clapping 638 | DvgyFP7jxh4_70_80 Blender,Speech 639 | 0gfxwS7Wla8_30_40 Speech,Car 640 | H_rWLZ4DNQU_30_40 Singing,Speech,Clapping 641 | 1MMFztEi-Hk_240_250 Blender 642 | DUfww-VAuFI_60_70 Speech,Fire_alarm 643 | Ju4o24LHKl0_30_40 Cat,Speech 644 | 3WETCdylMfY_300_310 Singing 645 | OFtExNYmSfM_30_40 Speech,Dog 646 | H49jElTxnzQ_50_60 Basketball_bounce 647 | CEtiON3_5yA_530_540 Violin_fiddle,Speech 648 | Kw7r1WV8y30_30_40 Violin_fiddle,Speech 649 | GWg7TQYUHFo_30_40 Speech,Baby_cry_infant_cry 650 | CFzJQ6eje0Y_30_40 Motorcycle,Speech,Dog 651 | -------------------------------------------------------------------------------- /dataloader.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import os 3 | import pandas as pd 4 | import torch 5 | from torch.utils.data import Dataset 6 | 7 | categories = ['Speech', 'Car', 'Cheering', 'Dog', 'Cat', 'Frying_(food)', 8 | 'Basketball_bounce', 'Fire_alarm', 'Chainsaw', 'Cello', 'Banjo', 9 | 'Singing', 'Chicken_rooster', 'Violin_fiddle', 'Vacuum_cleaner', 10 | 'Baby_laughter', 'Accordion', 'Lawn_mower', 'Motorcycle', 'Helicopter', 11 | 'Acoustic_guitar', 'Telephone_bell_ringing', 'Baby_cry_infant_cry', 'Blender', 12 | 'Clapping'] 13 | 14 | 15 | def ids_to_multinomial(ids): 16 | """ label encoding 17 | 18 | Returns: 19 | 1d array, multimonial representation, e.g. [1,0,1,0,0,...] 20 | """ 21 | id_to_idx = {id: index for index, id in enumerate(categories)} 22 | 23 | y = np.zeros(len(categories)) 24 | for id in ids: 25 | index = id_to_idx[id] 26 | y[index] = 1 27 | return y 28 | 29 | 30 | class LLP_dataset(Dataset): 31 | def __init__(self, label, audio_dir, video_dir, 32 | transform=None, a_smooth=1.0, v_smooth=0.9): 33 | self.df = pd.read_csv(label, header=0, sep='\t') 34 | # self.filenames = self.df["filename"] 35 | # self.need_to_change_v, self.need_to_change_a = pkl.load(open("need_to_change.pkl", 'rb')) 36 | self.audio_dir = audio_dir 37 | self.video_dir = video_dir 38 | self.transform = transform 39 | self.a_smooth = a_smooth 40 | self.v_smooth = v_smooth 41 | 42 | def __len__(self): 43 | return len(self.df) 44 | 45 | def __getitem__(self, idx): 46 | row = self.df.loc[idx, :] 47 | name = row[0][:11] 48 | audio = np.load(os.path.join(self.audio_dir, name + '.npy')) 49 | video_s = np.load(os.path.join(self.video_dir, name + '.npy')) 50 | # video_st = np.load(os.path.join(self.st_dir, name + '.npy')) resnet feature 51 | ids = row[-1].split(',') 52 | label = ids_to_multinomial(ids) 53 | Pa = self.a_smooth * label + (1 - self.a_smooth) * 0.5 54 | Pv = self.v_smooth * label + (1 - self.v_smooth) * 0.5 55 | pa = label.copy() 56 | pv = label.copy() 57 | 58 | sample = {'audio': audio, 'video_s': video_s, 59 | 'label': label, 'Pa': Pa, 'Pv': Pv, 'idx': np.array([idx])} 60 | 61 | if self.transform: 62 | sample = self.transform(sample) 63 | 64 | return sample, name 65 | 66 | 67 | class ToTensor: 68 | def __call__(self, sample): 69 | tensor = dict() 70 | for key in sample: 71 | tensor[key] = torch.from_numpy(sample[key]) 72 | return tensor 73 | -------------------------------------------------------------------------------- /fig/model.jpeg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fyyCS/LSLD/d34c988c6db764bdb73ba6852100179e06d72865/fig/model.jpeg -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | #encoding:utf-8 3 | 4 | from __future__ import print_function 5 | import argparse 6 | import pandas as pd 7 | import os 8 | import os.path as osp 9 | import copy 10 | import time 11 | import random 12 | import numpy as np 13 | import torch.nn.functional as F 14 | import torch 15 | import torch.nn as nn 16 | import torch.optim as optim 17 | from torchvision import transforms 18 | from torch.utils.data import DataLoader 19 | from dataloader import LLP_dataset, ToTensor, categories 20 | from nets.net_audiovisual import MMIL_Net 21 | from utils.eval_metrics import segment_level, event_level, print_overall_metric 22 | import clip 23 | import laion_clap 24 | 25 | def get_LLP_dataloader(args): 26 | 27 | train_dataset = LLP_dataset(label=args.label_train, audio_dir=args.audio_dir, 28 | video_dir=args.video_dir, 29 | transform=transforms.Compose([ToTensor()]),a_smooth=args.a_smooth, v_smooth=args.v_smooth) 30 | val_dataset = LLP_dataset(label=args.label_val, audio_dir=args.audio_dir, 31 | video_dir=args.video_dir, 32 | transform=transforms.Compose([ToTensor()])) 33 | test_dataset = LLP_dataset(label=args.label_test, audio_dir=args.audio_dir, 34 | video_dir=args.video_dir, 35 | transform=transforms.Compose([ToTensor()])) 36 | 37 | train_loader = DataLoader(train_dataset, batch_size=args.batch_size, 38 | shuffle=True, pin_memory=True, sampler=None) 39 | # batch size = 1 40 | val_loader = DataLoader(val_dataset, batch_size=1, shuffle=False, pin_memory=True, sampler=None) 41 | test_loader = DataLoader(test_dataset, batch_size=1, shuffle=False, pin_memory=True, sampler=None) 42 | 43 | 44 | return train_loader, val_loader, test_loader 45 | 46 | 47 | def set_random_seed(seed): 48 | torch.manual_seed(seed) 49 | torch.cuda.manual_seed(seed) 50 | random.seed(seed) 51 | np.random.seed(seed) 52 | 53 | 54 | def get_random_state(): 55 | state = { 56 | 'torch_rng': torch.get_rng_state(), 57 | 'cuda_rng': torch.cuda.get_rng_state(), 58 | 'random_rng': random.getstate(), 59 | 'numpy_rng': np.random.get_state() 60 | } 61 | return state 62 | 63 | @torch.no_grad() 64 | def getVisualCleanLabel(args, train_loader): 65 | 66 | refine_label = np.load(args.language, allow_pickle=True) 67 | label_a_refine = refine_label['label_a'].item() 68 | label_v_refine = refine_label['label_v'].item() 69 | noise_ratio = args.noise_ratio 70 | event_ratio = args.event_ratio 71 | 72 | device = "cuda" if torch.cuda.is_available() else "cpu" 73 | clip_model, preprocess = clip.load("ViT-B/16", device=device) 74 | 75 | categories = ['Speech', 'Car', 'Cheering', 'Dog', 'Cat', 'Frying_(food)', 76 | 'Basketball_bounce', 'Fire_alarm', 'Chainsaw', 'Cello', 'Banjo', 77 | 'Singing', 'Chicken_rooster', 'Violin_fiddle', 'Vacuum_cleaner', 78 | 'Baby_laughter', 'Accordion', 'Lawn_mower', 'Motorcycle', 'Helicopter', 79 | 'Acoustic_guitar', 'Telephone_bell_ringing', 'Baby_cry_infant_cry', 'Blender', 80 | 'Clapping'] 81 | 82 | text_tokens = clip.tokenize(categories).cuda() 83 | 84 | with torch.no_grad(): 85 | text_features = clip_model.encode_text(text_tokens).cuda() 86 | 87 | event_v = [[] for _ in range(25)] 88 | name_v = [[] for _ in range(25)] 89 | event_v_not = [[] for _ in range(25)] 90 | name_v_not = [[] for _ in range(25)] 91 | 92 | for batch_idx, (sample,name) in enumerate(train_loader): 93 | 94 | audio, video, target = sample['audio'].to('cuda'), \ 95 | sample['video_s'].to('cuda'), \ 96 | sample['label'].type(torch.FloatTensor).to('cuda') 97 | vid_s = video.permute(0, 2, 1).unsqueeze(-1) 98 | vid_s = F.avg_pool2d(vid_s, (8, 1)).squeeze(-1).permute(0, 2, 1) 99 | for i in range(audio.size(0)): 100 | for j in range(10): 101 | label_idx = np.where(label_v_refine[name[i]][j].cpu().numpy())[0] 102 | label_idx_not = np.where(label_v_refine[name[i]][j].cpu().numpy()==0)[0] 103 | 104 | for idx in label_idx: 105 | event_v[idx].append(vid_s[i,j,:]) 106 | name_v[idx].append(name[i]+str(j)) 107 | for idx in label_idx_not: 108 | event_v_not[idx].append(vid_s[i,j,:]) 109 | name_v_not[idx].append(name[i]+str(j)) 110 | 111 | for i in range(25): 112 | print(i) 113 | if len(event_v[i]) == 0: 114 | continue 115 | print(len(event_v[i])) 116 | event_v[i] = torch.stack(event_v[i]).reshape(-1,512).cuda() 117 | text = text_features[i] 118 | text_n = F.normalize(text, p=2, dim=-1).unsqueeze(0) 119 | event_n = F.normalize(event_v[i], p=2, dim=-1) 120 | cosine_simi = torch.mm(event_n, text_n.t()).squeeze() 121 | simi_all, idx_v = torch.sort(cosine_simi, dim=-1, descending=False) 122 | num_all = event_v[i].size(0) 123 | 124 | event_v_not[i] = torch.stack(event_v_not[i]).reshape(-1,512).cuda() 125 | event_not = F.normalize(event_v_not[i], p=2, dim=-1) 126 | cosine_simi_not = torch.mm(event_not, text_n.t()).squeeze() 127 | simi_all_n, idx_n = torch.sort(cosine_simi_not, dim=-1, descending=False) 128 | num_all_n = event_v_not[i].size(0) 129 | 130 | if simi_all_n[-1] > simi_all[0]: 131 | idx_noise_v = np.where(cosine_simi.cpu().numpy() 0: 138 | label_v_refine[temp][int(index)][i] = cosine_simi[j] * event_ratio 139 | idx_event_v = np.where(cosine_simi_not.cpu().numpy()>simi_all[0].cpu().numpy())[0] 140 | for j in idx_event_v: 141 | temp = name_v_not[i][j][:-1] 142 | index = name_v_not[i][j][-1] 143 | label_v_refine[temp][int(index)][i] = label_v_refine[temp][int(index)][i].float() 144 | # label_v_refine[temp][int(index)][i] = 0.1 145 | if cosine_simi_not[j] * noise_ratio > 0 and cosine_simi_not[j] * noise_ratio < 1: 146 | label_v_refine[temp][int(index)][i] = cosine_simi_not[j] * noise_ratio 147 | 148 | np.savez(args.refine_label, label_v=label_v_refine, label_a=label_a_refine) 149 | 150 | @torch.no_grad() 151 | def refineLabel(args, train_loader): 152 | 153 | label_v_refine = {} 154 | label_a_refine = {} 155 | device = "cuda" if torch.cuda.is_available() else "cpu" 156 | clip_model, preprocess = clip.load("ViT-B/16", device=device) 157 | 158 | categories = ['Speeching', 'Car', 'Cheering', 'Dog', 'Cat', 'Frying food', 159 | 'playing basketball', 'Fire alarm ringing', 'Chainsaw', 'playing the Cello', 'playing the Banjo', 160 | 'Singing', 'Chicken', 'playing the Violin', 'Vacuum cleaner', 161 | 'Baby laughter', 'playing the Accordion', 'Lawn-mower', 'Motorcycle', 'Helicopter', 162 | 'playing the guitar', 'Telephone bell ringing', 'Baby cry', 'Blender', 163 | 'Clapping'] 164 | 165 | strText = [['1', 'other'], 166 | ['1 and 2', '1', '2', 'other'], 167 | ['1 and 2 and 3', '1', '2', '3', 168 | '1 and 2', '1 and 3', '2 and 3', 'other']] 169 | strText2 =[[f"This is a sound of {label}" for label in text] for text in strText] 170 | 171 | model_clap = laion_clap.CLAP_Module(enable_fusion=False) 172 | 173 | model_clap.load_ckpt('./630k-audioset-best.pt') # download the default pretrained checkpoint. 174 | # model_clap.model.text_transform.sequential = nn.Sequential() 175 | for batch_idx, (sample,name) in enumerate(train_loader): 176 | 177 | audio, video, target = sample['audio'].to('cuda'), \ 178 | sample['video_s'].to('cuda'), \ 179 | sample['label'].type(torch.FloatTensor).to('cuda') 180 | Pa, Pv = sample['Pa'].type(torch.FloatTensor).to('cuda'), sample['Pv'].type(torch.FloatTensor).to('cuda') 181 | vid_s = video.permute(0, 2, 1).unsqueeze(-1) 182 | vid_s = F.avg_pool2d(vid_s, (8, 1)).squeeze(-1).permute(0, 2, 1) 183 | for i in range(audio.size(0)): 184 | label_idx_v = np.where(target[i].cpu().numpy())[0] 185 | label_idx_a = np.where(target[i].cpu().numpy())[0] 186 | label_v_refine[name[i]] = target[i].unsqueeze(0).repeat(10,1) 187 | label_a_refine[name[i]] = target[i].unsqueeze(0).repeat(10,1) 188 | 189 | if len(label_idx_v) == 1: 190 | text_all = [x.replace("1",categories[label_idx_v[0]]) for x in strText[len(label_idx_v)-1]] 191 | elif len(label_idx_v) == 2: 192 | text_all = [x.replace("1",categories[label_idx_v[0]]).replace("2",categories[label_idx_v[1]]) for x in strText[len(label_idx_v)-1]] 193 | elif len(label_idx_v) == 3: 194 | text_all = [x.replace("1",categories[label_idx_v[0]]).replace("2",categories[label_idx_v[1]]).replace("3",categories[label_idx_v[2]]) for x in strText[len(label_idx_v)-1]] 195 | elif len(label_idx_v) == 0: 196 | continue 197 | if len(label_idx_a) == 1: 198 | text_all_a = [x.replace("1",categories[label_idx_a[0]]) for x in strText2[len(label_idx_a)-1]] 199 | elif len(label_idx_a) == 2: 200 | text_all_a = [x.replace("1",categories[label_idx_a[0]]).replace("2",categories[label_idx_a[1]]) for x in strText2[len(label_idx_a)-1]] 201 | elif len(label_idx_a) == 3: 202 | text_all_a = [x.replace("1",categories[label_idx_a[0]]).replace("2",categories[label_idx_a[1]]).replace("3",categories[label_idx_a[2]]) for x in strText2[len(label_idx_a)-1]] 203 | elif len(label_idx_a) == 0: 204 | continue 205 | with torch.no_grad(): 206 | # clap 207 | audio_f = F.normalize(audio[i], p=2, dim=-1) 208 | text_embeddings = model_clap.get_text_embedding(text_all_a, use_tensor=True).cuda() 209 | text_a = F.normalize(text_embeddings, p=2, dim=-1) 210 | cosine_simi_a = torch.matmul(text_a, audio_f.t()) 211 | max_a, _ = cosine_simi_a.max(0) 212 | cosine_simi_a = cosine_simi_a.softmax(dim=0) 213 | _, idx_a = cosine_simi_a.max(0) 214 | 215 | # clip 216 | text_tokens = clip.tokenize(text_all).cuda() 217 | text_features = clip_model.encode_text(text_tokens).cuda() 218 | text_f = F.normalize(text_features, p=2, dim=-1) 219 | v_feature = F.normalize(vid_s[i], p=2, dim=-1) 220 | cosine_simi = torch.matmul(text_f, v_feature.t()) 221 | cosine_simi = cosine_simi.softmax(dim=0) 222 | _, idx = cosine_simi.max(0) 223 | for t in range(10): 224 | if len(label_idx_v) == 1 and '1' not in strText[0][idx[t]]: 225 | label_v_refine[name[i]][t,label_idx_v[0]] = 0 226 | if len(label_idx_a) == 1 and '1' not in strText[0][idx_a[t]]: 227 | label_a_refine[name[i]][t,label_idx_a[0]] = 0 228 | 229 | if len(label_idx_v) == 2: 230 | if '1' not in strText[1][idx[t]]: 231 | label_v_refine[name[i]][t,label_idx_v[0]] = 0 232 | if '2' not in strText[1][idx[t]]: 233 | label_v_refine[name[i]][t,label_idx_v[1]] = 0 234 | if len(label_idx_a) == 2: 235 | if '1' not in strText[1][idx_a[t]]: 236 | label_a_refine[name[i]][t,label_idx_a[0]] = 0 237 | if '2' not in strText[1][idx_a[t]] : 238 | label_a_refine[name[i]][t,label_idx_a[1]] = 0 239 | if len(label_idx_v) == 3: 240 | if '1' not in strText[2][idx[t]]: 241 | label_v_refine[name[i]][t,label_idx_v[0]] = 0 242 | if '2' not in strText[2][idx[t]]: 243 | label_v_refine[name[i]][t,label_idx_v[1]] = 0 244 | if '3' not in strText[2][idx[t]]: 245 | label_v_refine[name[i]][t,label_idx_v[2]] = 0 246 | if len(label_idx_a) == 3: 247 | if '1' not in strText[2][idx_a[t]]: 248 | label_a_refine[name[i]][t,label_idx_a[0]] = 0 249 | if '2' not in strText[2][idx_a[t]]: 250 | label_a_refine[name[i]][t,label_idx_a[1]] = 0 251 | if '3' not in strText[2][idx_a[t]]: 252 | label_a_refine[name[i]][t,label_idx_a[2]] = 0 253 | np.savez(args.language, label_v=label_v_refine, label_a=label_a_refine) 254 | 255 | def train_all_model(args, model, train_loader, optimizer, criterion, epoch): 256 | print("begin train_model.") 257 | model.train() 258 | 259 | refine_label = np.load(args.refine_label, allow_pickle=True) 260 | label_a = refine_label['label_a'].item() 261 | label_v = refine_label['label_v'].item() 262 | 263 | for batch_idx, (sample,name) in enumerate(train_loader): 264 | 265 | audio, video, target = sample['audio'].to('cuda'), \ 266 | sample['video_s'].to('cuda'), \ 267 | sample['label'].type(torch.FloatTensor).to('cuda') 268 | # # 128*25 269 | Pa, Pv = sample['Pa'].type(torch.FloatTensor).to('cuda'), sample['Pv'].type(torch.FloatTensor).to('cuda') 270 | 271 | optimizer.zero_grad() 272 | output, a_prob, v_prob, frame_prob = model(audio, video) 273 | # input min max 274 | output = torch.clamp(output, min=1e-7, max=1 - 1e-7) 275 | a_prob = torch.clamp(a_prob, min=1e-7, max=1 - 1e-7) 276 | v_prob = torch.clamp(v_prob, min=1e-7, max=1 - 1e-7) 277 | 278 | loss_v_all = 0 279 | loss_a_all = 0 280 | 281 | for i in range(audio.size(0)): 282 | loss_a_all += criterion(frame_prob[i,:,0,:], label_a[name[i]].float().cuda()) 283 | loss_v_all += criterion(frame_prob[i,:,1,:], label_v[name[i]].float().cuda()) 284 | loss_a_all/=audio.size(0) 285 | loss_v_all/=audio.size(0) 286 | 287 | loss1 = loss_a_all 288 | loss2 = loss_v_all 289 | loss3 = criterion(output, target) 290 | 291 | loss = loss1 * args.audio_weight + loss2 * args.visual_weight + \ 292 | loss3 * args.video_weight 293 | loss.backward() 294 | optimizer.step() 295 | 296 | if batch_idx % args.log_interval == 0: 297 | print('Train Epoch: {} [{}/{} ({:.0f}%)]\tLoss1: {:.3f}\tLoss2: {:.3f}\tLoss3: {:.3f}'. 298 | format(epoch, batch_idx * len(audio), len(train_loader.dataset), 299 | 100. * batch_idx / len(train_loader), loss1.item(), 300 | loss2.item(), loss3.item())) 301 | 302 | def eval(args, model, val_loader, set): 303 | 304 | model.eval() 305 | print("begin evaluate.") 306 | # load annotations 307 | df = pd.read_csv(set, header=0, sep='\t') 308 | df_a = pd.read_csv("data/AVVP_eval_audio.csv", header=0, sep='\t') 309 | df_v = pd.read_csv("data/AVVP_eval_visual.csv", header=0, sep='\t') 310 | 311 | id_to_idx = {id: index for index, id in enumerate(categories)} 312 | 313 | F_seg_a = [] 314 | F_seg_v = [] 315 | F_seg = [] 316 | F_seg_av = [] 317 | F_event_a = [] 318 | F_event_v = [] 319 | F_event = [] 320 | F_event_av = [] 321 | 322 | with torch.no_grad(): 323 | num_vid = 0 324 | num_seg = 0 325 | num_all = 0 326 | 327 | for batch_idx, (sample,name) in enumerate(val_loader): 328 | num_all += 1 329 | audio, video, target = sample['audio'].to('cuda'), \ 330 | sample['video_s'].to('cuda'), \ 331 | sample['label'].to('cuda') 332 | output, a_prob, v_prob, frame_prob = model(audio, video) 333 | oa = (a_prob.cpu().detach().numpy() >= 0.5).astype(np.int_) 334 | ov = (v_prob.cpu().detach().numpy() >= 0.5).astype(np.int_) 335 | # 10*25 336 | Pa = frame_prob[0, :, 0, :].cpu().detach().numpy() 337 | Pv = frame_prob[0, :, 1, :].cpu().detach().numpy() 338 | 339 | Pa = (Pa >= 0.5).astype(np.int_) * np.repeat(oa, repeats=10, axis=0) 340 | Pv = (Pv >= 0.5).astype(np.int_) * np.repeat(ov, repeats=10, axis=0) 341 | 342 | GT_a = np.zeros((25, 10)) 343 | GT_v = np.zeros((25, 10)) 344 | 345 | df_vid_a = df_a.loc[df_a['filename'] == df.loc[batch_idx, :][0]] 346 | filenames = df_vid_a["filename"] 347 | events = df_vid_a["event_labels"] 348 | onsets = df_vid_a["onset"] 349 | offsets = df_vid_a["offset"] 350 | num = len(filenames) 351 | if num > 0: 352 | for i in range(num): 353 | x1 = int(onsets[df_vid_a.index[i]]) 354 | x2 = int(offsets[df_vid_a.index[i]]) 355 | event = events[df_vid_a.index[i]] 356 | idx = id_to_idx[event] 357 | GT_a[idx, x1:x2] = 1 358 | 359 | df_vid_v = df_v.loc[df_v['filename'] == df.loc[batch_idx, :][0]] 360 | filenames = df_vid_v["filename"] 361 | events = df_vid_v["event_labels"] 362 | onsets = df_vid_v["onset"] 363 | offsets = df_vid_v["offset"] 364 | num = len(filenames) 365 | if num > 0: 366 | for i in range(num): 367 | x1 = int(onsets[df_vid_v.index[i]]) 368 | x2 = int(offsets[df_vid_v.index[i]]) 369 | event = events[df_vid_v.index[i]] 370 | idx = id_to_idx[event] 371 | GT_v[idx, x1:x2] = 1 372 | # GT_av 373 | GT_av = GT_a * GT_v 374 | GT_a_t = np.transpose(GT_a) 375 | GT_v_t = np.transpose(GT_v) 376 | for i in range(10): 377 | label_idx_a = np.where(GT_a_t[i])[0] 378 | label_idx_v = np.where(GT_v_t[i])[0] 379 | if not np.array_equal(label_idx_a, label_idx_v): 380 | num_seg+=1 381 | 382 | for i in range(10): 383 | label_idx_a = np.where(GT_a_t[i])[0] 384 | label_idx_v = np.where(GT_v_t[i])[0] 385 | if not np.array_equal(label_idx_a, label_idx_v): 386 | num_vid+=1 387 | break 388 | SO_a = np.transpose(Pa) 389 | SO_v = np.transpose(Pv) 390 | SO_av = SO_a * SO_v 391 | 392 | f_a, f_v, f, f_av = segment_level(SO_a, SO_v, SO_av, GT_a, GT_v, GT_av) 393 | F_seg_a.append(f_a) 394 | F_seg_v.append(f_v) 395 | F_seg.append(f) 396 | F_seg_av.append(f_av) 397 | 398 | # event-level F1 scores 399 | f_a, f_v, f, f_av = event_level(SO_a, SO_v, SO_av, GT_a, GT_v, GT_av) 400 | F_event_a.append(f_a) 401 | F_event_v.append(f_v) 402 | F_event.append(f) 403 | F_event_av.append(f_av) 404 | 405 | audio_segment_level, visual_segment_level, av_segment_level, avg_type, avg_event, \ 406 | audio_event_level, visual_event_level, av_event_level, avg_type_event, avg_event_level \ 407 | = print_overall_metric(F_seg_a, F_seg_v, F_seg, F_seg_av, F_event_a, F_event_v, F_event, F_event_av) 408 | return audio_segment_level, visual_segment_level, av_segment_level, avg_type, avg_event, \ 409 | audio_event_level, visual_event_level, av_event_level, avg_type_event, avg_event_level 410 | 411 | 412 | def main(): 413 | # Training settings 414 | parser = argparse.ArgumentParser(description='PyTorch Implementation of Audio-Visual Video Parsing') 415 | parser.add_argument("--audio_dir", type=str, default='data/feats/clap_audioset/', help="audio dir") 416 | parser.add_argument("--video_dir", type=str, default='data/feats/clip_16/', help="video dir") 417 | parser.add_argument("--label_train", type=str, default="data/AVVP_train.csv", help="weak train csv file") 418 | parser.add_argument("--label_val", type=str, default="data/AVVP_val_pd.csv", help="weak val csv file") 419 | parser.add_argument("--label_test", type=str, default="data/AVVP_test_pd.csv", help="weak test csv file") 420 | parser.add_argument('--batch_size', type=int, default=32, help='batch size for training') 421 | parser.add_argument('--epochs', type=int, default=20, help='number of epochs to train') 422 | parser.add_argument('--optimizer', type=str, choices=['sgd', 'adam'], default='adam') 423 | parser.add_argument('--lr', type=float, default=2e-4, help='learning rate') 424 | parser.add_argument('--weight_decay', type=float, default=0) 425 | parser.add_argument('--lr_step_size', type=int, default=6) 426 | parser.add_argument('--lr_gamma', type=float, default=0.25) 427 | parser.add_argument('--seed', type=int, default=6, help='random seed') 428 | parser.add_argument("--mode", type=str, default='train_model', 429 | help="with mode to use") 430 | parser.add_argument('--num_layers', type=int, default=4) 431 | parser.add_argument('--audio_weight', type=float, default=3.0) 432 | parser.add_argument('--visual_weight', type=float, default=1.0) 433 | parser.add_argument('--video_weight', type=float, default=1.0) 434 | parser.add_argument('--nce_weight', type=float, default=1.0) 435 | parser.add_argument('--clamp', type=float, default=1e-7) 436 | parser.add_argument('--nce_smooth', type=float, default=0.1) 437 | parser.add_argument('--temperature', type=float, default=0.2, help='feature temperature number') 438 | parser.add_argument('--log_interval', type=int, default=10, help='how many batches for logging training status') 439 | parser.add_argument('--log_file', type=str, help="./log/estimator") 440 | parser.add_argument('--save_model', type=str, default='false', help='whether to save model') 441 | parser.add_argument('--a_smooth', type=float, default=1.0) 442 | parser.add_argument('--v_smooth', type=float, default=0.9) 443 | parser.add_argument("--model_save_dir", type=str, default='ckpt/', help="model save dir") 444 | parser.add_argument("--refine_label", type=str, default='refine_label/final_label.npz', help="final label") 445 | parser.add_argument('--event_ratio', type=float, default=4) 446 | parser.add_argument('--noise_ratio', type=float, default=0.4) 447 | parser.add_argument("--language", type=str, default='refine_label/denoised_label.npz', help="denoised label") 448 | parser.add_argument("--checkpoint", type=str, default='LSLD.pt', help="save model name") 449 | args = parser.parse_args() 450 | 451 | # print parameters 452 | print('----------------args-----------------') 453 | for k in list(vars(args).keys()): 454 | print('%s: %s' % (k, vars(args)[k])) 455 | print('----------------args-----------------') 456 | cur = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())) 457 | print('current time: {}'.format(cur)) 458 | 459 | set_random_seed(args.seed) 460 | save_model = args.save_model == 'true' 461 | os.makedirs(args.model_save_dir, exist_ok=True) 462 | 463 | 464 | model = MMIL_Net(args.num_layers).to('cuda') 465 | 466 | start = time.time() 467 | 468 | if args.mode == 'label_denoise': 469 | train_loader, val_loader, test_loader = get_LLP_dataloader(args) 470 | if not os.path.exists(args.language): 471 | refineLabel(args, train_loader) 472 | if not os.path.exists(args.refine_label): 473 | getVisualCleanLabel(args, train_loader) 474 | 475 | elif args.mode == 'train_model': 476 | args.with_ca = True 477 | train_loader, val_loader, test_loader = get_LLP_dataloader(args) 478 | 479 | optimizer = optim.Adam(model.parameters(), lr=args.lr) 480 | scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=args.lr_step_size, gamma=args.lr_gamma) 481 | 482 | criterion = nn.BCELoss() 483 | 484 | best_F = 0 485 | best_model = None 486 | 487 | for epoch in range(1, args.epochs+1): 488 | train_all_model(args, model, train_loader, optimizer, criterion, epoch=epoch) 489 | scheduler.step() 490 | print("Validation Performance of Epoch {}:".format(epoch)) 491 | 492 | audio_seg, visual_seg, av_seg, avg_type_seg, avg_event_seg, \ 493 | audio_eve, visual_eve, av_eve, avg_type_eve, avg_event_eve \ 494 | = eval(args, model, val_loader, args.label_val) 495 | 496 | if audio_eve >= best_F: 497 | best_F = audio_eve 498 | best_model = copy.deepcopy(model) 499 | best_epoch = epoch 500 | if save_model: 501 | state_dict = get_random_state() 502 | state_dict['model'] = model.state_dict() 503 | state_dict['optimizer'] = optimizer.state_dict() 504 | state_dict['scheduler'] = scheduler.state_dict() 505 | state_dict['epochs'] = args.epochs 506 | torch.save(state_dict, osp.join(args.model_save_dir, args.checkpoint)) 507 | optimizer.zero_grad() 508 | model = best_model 509 | print("Test the best model:") 510 | print(best_epoch) 511 | eval(args, model, test_loader, args.label_test) 512 | 513 | elif args.mode == 'test_LSLD': 514 | dataset = args.label_test 515 | test_dataset = LLP_dataset(label=dataset, 516 | audio_dir=args.audio_dir, video_dir=args.video_dir, 517 | transform=transforms.Compose([ToTensor()])) 518 | test_loader = DataLoader(test_dataset, batch_size=1, shuffle=False, num_workers=1, pin_memory=True) 519 | resume = torch.load(osp.join(args.model_save_dir, args.checkpoint)) 520 | model.load_state_dict(resume['model']) 521 | 522 | eval(args, model, test_loader, dataset) 523 | 524 | end = time.time() 525 | print(f'duration time {(end - start) / 60} mins.'.format(end, start)) 526 | cur = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())) 527 | print(f'current time: {cur}'.format(cur)) 528 | 529 | 530 | if __name__ == '__main__': 531 | main() 532 | -------------------------------------------------------------------------------- /nets/net_audiovisual.py: -------------------------------------------------------------------------------- 1 | import torch 2 | import torch.nn as nn 3 | import torch.nn.functional as F 4 | 5 | class Encoder(nn.Module): 6 | def __init__(self, encoder_layer, num_layers, norm=None, d_model=512, nhead=1, dim_feedforward=512, dropout=0.1): 7 | super(Encoder, self).__init__() 8 | self.layers = [] 9 | if encoder_layer == 'HANLayer': 10 | for i in range(num_layers): 11 | self.layers.append(HANLayer(d_model=d_model, nhead=nhead, 12 | dim_feedforward=dim_feedforward, dropout=dropout)) 13 | else: 14 | raise ValueError('wrong encoder layer') 15 | self.layers = nn.ModuleList(self.layers) 16 | self.num_layers = num_layers 17 | self.norm1 = nn.LayerNorm(d_model) 18 | self.norm2 = nn.LayerNorm(d_model) 19 | self.norm = norm 20 | 21 | def forward(self, src_a, src_v, mask=None, src_key_padding_mask=None, with_ca=True): 22 | output_a = src_a 23 | output_v = src_v 24 | 25 | for i in range(self.num_layers): 26 | output_a = self.layers[i](src_a, src_v, src_mask=mask, 27 | src_key_padding_mask=src_key_padding_mask, with_ca=with_ca) 28 | output_v = self.layers[i](src_v, src_a, src_mask=mask, 29 | src_key_padding_mask=src_key_padding_mask, with_ca=with_ca) 30 | src_a = output_a 31 | src_v = output_v 32 | 33 | if self.norm: 34 | output_a = self.norm1(output_a) 35 | output_v = self.norm2(output_v) 36 | 37 | return output_a, output_v 38 | 39 | 40 | class HANLayer(nn.Module): 41 | def __init__(self, d_model, nhead, dim_feedforward=512, dropout=0.1): 42 | super(HANLayer, self).__init__() 43 | self.self_attn = nn.MultiheadAttention(d_model, nhead, dropout=dropout) 44 | self.cm_attn = nn.MultiheadAttention(d_model, nhead, dropout=dropout) 45 | 46 | # Implementation of Feedforward model 47 | self.linear1 = nn.Linear(d_model, dim_feedforward) 48 | self.dropout = nn.Dropout(dropout) 49 | self.linear2 = nn.Linear(dim_feedforward, d_model) 50 | 51 | self.norm1 = nn.LayerNorm(d_model) 52 | self.norm2 = nn.LayerNorm(d_model) 53 | self.dropout11 = nn.Dropout(dropout) 54 | self.dropout12 = nn.Dropout(dropout) 55 | self.dropout2 = nn.Dropout(dropout) 56 | 57 | def forward(self, src_q, src_v, src_mask=None, src_key_padding_mask=None, with_ca=True): 58 | """Pass the input through the encoder layer. 59 | 60 | Args: 61 | src_q: the sequence to the encoder layer (required). 62 | src_v: the sequence to the encoder layer (required). 63 | src_mask: the mask for the src sequence (optional). 64 | src_key_padding_mask: the mask for the src keys per batch (optional). 65 | with_ca: whether to use audio-visual cross-attention 66 | Shape: 67 | see the docs in Transformer class. 68 | """ 69 | src_q = src_q.permute(1, 0, 2) 70 | src_v = src_v.permute(1, 0, 2) 71 | 72 | if with_ca: 73 | src1 = self.cm_attn(src_q, src_v, src_v, attn_mask=src_mask, 74 | key_padding_mask=src_key_padding_mask)[0] 75 | src2 = self.self_attn(src_q, src_q, src_q, attn_mask=src_mask, 76 | key_padding_mask=src_key_padding_mask)[0] 77 | 78 | src_q = src_q + self.dropout11(src1) + self.dropout12(src2) 79 | src_q = self.norm1(src_q) 80 | else: 81 | src2 = self.self_attn(src_q, src_q, src_q, attn_mask=src_mask, 82 | key_padding_mask=src_key_padding_mask)[0] 83 | 84 | src_q = src_q + self.dropout12(src2) 85 | src_q = self.norm1(src_q) 86 | 87 | src_q = src_q + self.dropout2(self.linear2(self.dropout(F.relu(self.linear1(src_q))))) 88 | src_q = self.norm2(src_q) 89 | return src_q.permute(1, 0, 2) 90 | 91 | class MMIL_Net(nn.Module): 92 | 93 | def __init__(self, num_layers=1, att_dropout=0.1, cls_dropout=0.5): 94 | super(MMIL_Net, self).__init__() 95 | 96 | self.fc_prob = nn.Linear(512, 25) 97 | 98 | self.fc_frame_att = nn.Linear(512, 25) 99 | self.fc_av_att = nn.Linear(512, 25) 100 | self.fc_a = nn.Linear(512, 512) 101 | self.fc_v = nn.Linear(512, 512) 102 | self.hat_encoder = Encoder('HANLayer', num_layers, norm=None, d_model=512, 103 | nhead=1, dim_feedforward=512, dropout=att_dropout) 104 | if cls_dropout != 0: 105 | self.dropout = nn.Dropout(p=cls_dropout) 106 | else: 107 | self.dropout = None 108 | 109 | def forward(self, audio, visual, with_ca=True): 110 | x1 = self.fc_a(audio) 111 | # # 2d and 3d visual feature fusion 112 | # vid_s = self.fc_v(visual).permute(0, 2, 1).unsqueeze(-1) 113 | # vid_s = F.avg_pool2d(vid_s, (8, 1)).squeeze(-1).permute(0, 2, 1) 114 | # vid_st = self.fc_st(visual_st) 115 | # x2 = torch.cat((vid_s, vid_st), dim=-1) 116 | # x2 = self.fc_fusion(x2) 117 | # clip feature 118 | vid_s = self.fc_v(visual.float()).permute(0, 2, 1).unsqueeze(-1) 119 | x2 = F.avg_pool2d(vid_s, (8, 1)).squeeze(-1).permute(0, 2, 1) 120 | 121 | x1, x2 = self.hat_encoder(x1, x2, with_ca=True) # 128*10*512 122 | 123 | if self.dropout is not None: 124 | x2 = self.dropout(x2) 125 | x = torch.cat([x1.unsqueeze(-2), x2.unsqueeze(-2)], dim=-2) 126 | frame_prob = torch.sigmoid(self.fc_prob(x)) 127 | # attentive MMIL pooling 128 | frame_att = torch.softmax(self.fc_frame_att(x), dim=1) 129 | av_att = torch.softmax(self.fc_av_att(x), dim=2) 130 | temporal_prob = frame_att * frame_prob 131 | global_prob = (temporal_prob * av_att).sum(dim=2).sum(dim=1) 132 | # frame-wise probability 133 | a_prob = temporal_prob[:, :, 0, :].sum(dim=1) 134 | v_prob = temporal_prob[:, :, 1, :].sum(dim=1) 135 | return global_prob, a_prob, v_prob, frame_prob 136 | 137 | 138 | -------------------------------------------------------------------------------- /refine_label/denoised_label.npz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fyyCS/LSLD/d34c988c6db764bdb73ba6852100179e06d72865/refine_label/denoised_label.npz -------------------------------------------------------------------------------- /refine_label/final_label.npz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fyyCS/LSLD/d34c988c6db764bdb73ba6852100179e06d72865/refine_label/final_label.npz -------------------------------------------------------------------------------- /requirement.txt: -------------------------------------------------------------------------------- 1 | pandas 2 | numpy=1.20.3 3 | torch==1.8.1 4 | torchaudio==0.8.1 5 | torchvision==0.9.1 6 | -------------------------------------------------------------------------------- /scripts/extract_clip_feat.py: -------------------------------------------------------------------------------- 1 | import shutil 2 | import subprocess 3 | import glob 4 | from tqdm import tqdm 5 | import numpy as np 6 | import os 7 | import os.path as osp 8 | import argparse 9 | from PIL import Image 10 | import torch 11 | from torch import nn 12 | import torch.nn.functional as F 13 | import pretrainedmodels 14 | from pretrainedmodels import utils 15 | from mmcv import ProgressBar 16 | import random 17 | import clip 18 | 19 | C, H, W = 3, 224, 224 20 | device = "cuda" if torch.cuda.is_available() else "cpu" 21 | 22 | def extract_feats(params, model, preprocess): 23 | global C, H, W 24 | model.eval() 25 | dir_fc = os.path.join(os.getcwd(), params['output_dir']) 26 | if not os.path.isdir(dir_fc): 27 | os.mkdir(dir_fc) 28 | 29 | video_list = os.listdir(params['video_path']) 30 | random.shuffle(video_list) 31 | nn = 0 32 | process_videos = list() 33 | pb = ProgressBar(len(video_list)) 34 | pb.start() 35 | for video in video_list: 36 | outfile = os.path.join(dir_fc, video + '.npy') 37 | nn = nn + 1 38 | dst = video 39 | 40 | image_list = sorted(glob.glob(os.path.join(params['video_path'], dst, '*.jpg'))) 41 | print(len(image_list)) 42 | number = len(image_list) 43 | samples = np.round(np.linspace( 44 | 0, len(image_list) - 1, params['n_frame_steps'])) 45 | # for sample in samples: 46 | # print(image_list[min(int(sample), number - 1)]) 47 | try: 48 | image_list = [image_list[min(int(sample), number - 1)] for sample in samples] 49 | except: 50 | pb.update() 51 | continue 52 | images = torch.zeros((len(image_list), C, H, W)) 53 | # print(images.size()) 54 | i = 0 55 | for iImg in range(len(image_list)): 56 | # img = load_image_fn(image_list[iImg]) 57 | img = preprocess(Image.open(image_list[iImg])).unsqueeze(0).to(device) 58 | images[iImg] = img 59 | 60 | with torch.no_grad(): 61 | 62 | fc_feats = model.encode_image(images.cuda()) 63 | 64 | # print("\nfc_feats.size():") 65 | print(fc_feats.size()) 66 | img_feats = fc_feats.cpu().numpy() 67 | print(img_feats.shape) 68 | # Save the inception features 69 | if not os.path.exists(outfile): 70 | np.save(outfile, img_feats) 71 | # cleanup 72 | #shutil.rmtree(dst) 73 | # print(nn) 74 | process_videos.append(video) 75 | pb.update() 76 | 77 | 78 | 79 | if __name__ == '__main__': 80 | parser = argparse.ArgumentParser() 81 | parser.add_argument("--gpu", dest='gpu', type=str, default='1', 82 | help='Set CUDA_VISIBLE_DEVICES environment variable, optional') 83 | parser.add_argument("--output_dir", dest='output_dir', type=str, 84 | default='../data/feats/clip_16', help='directory to store features') 85 | parser.add_argument("--n_frame_steps", dest='n_frame_steps', type=int, default=80, 86 | help='how many frames to sampler per video') 87 | 88 | parser.add_argument("--video_path", dest='video_path', type=str, 89 | default='../data/LLP_dataset/frame', help='path to video dataset') 90 | parser.add_argument("--model", dest="model", type=str, default='resnet152', 91 | help='the CNN model you want to use to extract_feats') 92 | 93 | # parser.add_argument('--log_dir', dest='log_dir', type=str, default='log/extract_rgb_feat') 94 | 95 | args = parser.parse_args() 96 | os.environ['CUDA_VISIBLE_DEVICES'] = '1' 97 | params = vars(args) 98 | if params['model'] == 'inception_v3': 99 | C, H, W = 3, 299, 299 100 | model = pretrainedmodels.inceptionv3(pretrained='imagenet') 101 | load_image_fn = utils.LoadTransformImage(model) 102 | 103 | elif params['model'] == 'resnet152': 104 | C, H, W = 3, 224, 224 105 | # model = pretrainedmodels.resnet152(pretrained='imagenet') 106 | 107 | model, preprocess = clip.load('ViT-B/16', device) 108 | # load_image_fn = utils.LoadTransformImage(model) 109 | 110 | elif params['model'] == 'vgg19_bn': 111 | C, H, W = 3, 224, 224 112 | model = pretrainedmodels.vgg19_bn(pretrained='imagenet') 113 | load_image_fn = utils.LoadTransformImage(model) 114 | elif params['model'] == 'inception_v4': 115 | C, H, W = 3, 299, 299 116 | model = pretrainedmodels.inceptionv4( 117 | num_classes=1000, pretrained='imagenet') 118 | load_image_fn = utils.LoadTransformImage(model) 119 | elif params['model'] == 'nasnetalarge': 120 | C, H, W = 3, 299, 299 121 | model = pretrainedmodels.inceptionv4( 122 | num_classes=1000, pretrained='imagenet') 123 | load_image_fn = utils.LoadTransformImage(model) 124 | 125 | else: 126 | print("doesn't support %s" % (params['model'])) 127 | model = model.cuda() 128 | extract_feats(params, model, preprocess) -------------------------------------------------------------------------------- /scripts/extract_frames.py: -------------------------------------------------------------------------------- 1 | import shutil 2 | import subprocess 3 | import os 4 | import os.path as osp 5 | import argparse 6 | import glob 7 | # from mmcv import ProgressBar 8 | from multiprocessing import Process 9 | import random 10 | 11 | 12 | def extract_frames(video, dst): 13 | command1 = 'ffmpeg ' 14 | command1 += '-i ' + video + " " 15 | command1 += '-y' + " " 16 | command1 += "-r " + "8 " 17 | command1 += '{0}/%06d.jpg'.format(dst) 18 | # print(command1) 19 | os.system(command1) 20 | 21 | 22 | def multi_process(vid_list, video_path, out_dir): 23 | for vid_id in vid_list: 24 | name = os.path.join(video_path, vid_id) 25 | dst = os.path.join(out_dir, vid_id[:-4]) 26 | if not os.path.exists(dst): 27 | os.makedirs(dst) 28 | extract_frames(name, dst) 29 | 30 | 31 | if __name__ == '__main__': 32 | parser = argparse.ArgumentParser() 33 | parser.add_argument('--out_dir', dest='out_dir', type=str, default='../data/LLP_dataset/frame') 34 | parser.add_argument('--video_path', dest='video_path', type=str, default='../data/LLP_dataset/video') 35 | # parser.add_argument('--log_dir', dest='log_dir', type=str, default='log/extract_frames') 36 | args = parser.parse_args() 37 | # log_dir = args.log_dir 38 | vid_list = os.listdir(args.video_path) 39 | random.shuffle(vid_list) 40 | 41 | thread_number = 10 42 | vid_per_process = (len(vid_list) + thread_number - 1) // thread_number 43 | procs = list() 44 | for i in range(thread_number): 45 | proc = Process(target=multi_process, args=(vid_list[i * vid_per_process: (i + 1) * vid_per_process], 46 | args.video_path, args.out_dir)) 47 | proc.start() 48 | procs.append(proc) 49 | for p in procs: 50 | p.join() 51 | -------------------------------------------------------------------------------- /utils/eval_metrics.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | 3 | 4 | def Precision(X_pre, X_gt): 5 | N = len(X_pre) 6 | p = 0.0 7 | for i in range(N): 8 | x = X_pre[i, :] 9 | y = X_gt[i, :] 10 | p += np.sum(x * y) / np.sum(x) 11 | return p / N 12 | 13 | 14 | def Recall(X_pre, X_gt): 15 | N = len(X_pre) 16 | p = 0.0 17 | for i in range(N): 18 | x = X_pre[i, :] 19 | y = X_gt[i, :] 20 | p += np.sum(x * y) / np.sum(y) 21 | return p / N 22 | 23 | 24 | def F1(X_pre, X_gt): 25 | N = len(X_pre) 26 | p = 0 27 | for i in range(N): 28 | x = X_pre[i, :] 29 | y = X_gt[i, :] 30 | p += 2 * np.sum(x * y) / (np.sum(x) + np.sum(y)) 31 | return p / N 32 | 33 | 34 | def event_level(SO_a, SO_v, SO_av, GT_a, GT_v, GT_av): 35 | # extract events 36 | N = 25 37 | event_p_a = [None for n in range(25)] 38 | event_gt_a = [None for n in range(25)] 39 | event_p_v = [None for n in range(25)] 40 | event_gt_v = [None for n in range(25)] 41 | event_p_av = [None for n in range(25)] 42 | event_gt_av = [None for n in range(25)] 43 | 44 | TP_a = np.zeros(25) 45 | TP_v = np.zeros(25) 46 | TP_av = np.zeros(25) 47 | 48 | FP_a = np.zeros(25) 49 | FP_v = np.zeros(25) 50 | FP_av = np.zeros(25) 51 | 52 | FN_a = np.zeros(25) 53 | FN_v = np.zeros(25) 54 | FN_av = np.zeros(25) 55 | 56 | for n in range(N): 57 | # 1*10 58 | # 得到所有事件出现的segment start and end 59 | seq_pred = SO_a[n, :] 60 | if np.sum(seq_pred) != 0: 61 | x = extract_event(seq_pred, n) 62 | event_p_a[n] = x 63 | seq_gt = GT_a[n, :] 64 | if np.sum(seq_gt) != 0: 65 | x = extract_event(seq_gt, n) 66 | event_gt_a[n] = x 67 | 68 | seq_pred = SO_v[n, :] 69 | if np.sum(seq_pred) != 0: 70 | x = extract_event(seq_pred, n) 71 | event_p_v[n] = x 72 | seq_gt = GT_v[n, :] 73 | if np.sum(seq_gt) != 0: 74 | x = extract_event(seq_gt, n) 75 | event_gt_v[n] = x 76 | 77 | seq_pred = SO_av[n, :] 78 | if np.sum(seq_pred) != 0: 79 | x = extract_event(seq_pred, n) 80 | event_p_av[n] = x 81 | seq_gt = GT_av[n, :] 82 | if np.sum(seq_gt) != 0: 83 | x = extract_event(seq_gt, n) 84 | event_gt_av[n] = x 85 | 86 | tp, fp, fn = event_wise_metric(event_p_a[n], event_gt_a[n]) 87 | TP_a[n] += tp 88 | FP_a[n] += fp 89 | FN_a[n] += fn 90 | 91 | tp, fp, fn = event_wise_metric(event_p_v[n], event_gt_v[n]) 92 | TP_v[n] += tp 93 | FP_v[n] += fp 94 | FN_v[n] += fn 95 | 96 | tp, fp, fn = event_wise_metric(event_p_av[n], event_gt_av[n]) 97 | TP_av[n] += tp 98 | FP_av[n] += fp 99 | FN_av[n] += fn 100 | 101 | TP = TP_a + TP_v 102 | FN = FN_a + FN_v 103 | FP = FP_a + FP_v 104 | 105 | n = len(FP_a) 106 | F_a = [] 107 | for ii in range(n): 108 | if (TP_a + FP_a)[ii] != 0 or (TP_a + FN_a)[ii] != 0: 109 | F_a.append(2 * TP_a[ii] / (2 * TP_a[ii] + (FN_a + FP_a)[ii])) 110 | 111 | F_v = [] 112 | for ii in range(n): 113 | if (TP_v + FP_v)[ii] != 0 or (TP_v + FN_v)[ii] != 0: 114 | F_v.append(2 * TP_v[ii] / (2 * TP_v[ii] + (FN_v + FP_v)[ii])) 115 | 116 | F = [] 117 | for ii in range(n): 118 | if (TP + FP)[ii] != 0 or (TP + FN)[ii] != 0: 119 | F.append(2 * TP[ii] / (2 * TP[ii] + (FN + FP)[ii])) 120 | 121 | F_av = [] 122 | for ii in range(n): 123 | if (TP_av + FP_av)[ii] != 0 or (TP_av + FN_av)[ii] != 0: 124 | F_av.append(2 * TP_av[ii] / (2 * TP_av[ii] + (FN_av + FP_av)[ii])) 125 | 126 | if len(F_a) == 0: 127 | f_a = 1.0 128 | else: 129 | f_a = (sum(F_a) / len(F_a)) 130 | 131 | if len(F_v) == 0: 132 | f_v = 1.0 133 | else: 134 | f_v = (sum(F_v) / len(F_v)) 135 | 136 | if len(F) == 0: 137 | f = 1.0 138 | else: 139 | f = (sum(F) / len(F)) 140 | if len(F_av) == 0: 141 | f_av = 1.0 142 | else: 143 | f_av = (sum(F_av) / len(F_av)) 144 | 145 | return f_a, f_v, f, f_av 146 | 147 | 148 | def segment_level(SO_a, SO_v, SO_av, GT_a, GT_v, GT_av): 149 | TP_a = np.sum(SO_a * GT_a, axis=1) 150 | FN_a = np.sum((1 - SO_a) * GT_a, axis=1) 151 | FP_a = np.sum(SO_a * (1 - GT_a), axis=1) 152 | 153 | n = len(FP_a) 154 | F_a = [] 155 | for ii in range(n): 156 | if (TP_a + FP_a)[ii] != 0 or (TP_a + FN_a)[ii] != 0: 157 | # F1 score 158 | F_a.append(2 * TP_a[ii] / (2 * TP_a[ii] + (FN_a + FP_a)[ii])) 159 | 160 | # visual 161 | TP_v = np.sum(SO_v * GT_v, axis=1) 162 | FN_v = np.sum((1 - SO_v) * GT_v, axis=1) 163 | FP_v = np.sum(SO_v * (1 - GT_v), axis=1) 164 | # visual F1 score 165 | F_v = [] 166 | for ii in range(n): 167 | if (TP_v + FP_v)[ii] != 0 or (TP_v + FN_v)[ii] != 0: 168 | F_v.append(2 * TP_v[ii] / (2 * TP_v[ii] + (FN_v + FP_v)[ii])) 169 | 170 | TP = TP_a + TP_v 171 | FN = FN_a + FN_v 172 | FP = FP_a + FP_v 173 | 174 | n = len(FP) 175 | F = [] 176 | for ii in range(n): 177 | if (TP + FP)[ii] != 0 or (TP + FN)[ii] != 0: 178 | # F1 score 179 | F.append(2 * TP[ii] / (2 * TP[ii] + (FN + FP)[ii])) 180 | 181 | TP_av = np.sum(SO_av * GT_av, axis=1) 182 | FN_av = np.sum((1 - SO_av) * GT_av, axis=1) 183 | FP_av = np.sum(SO_av * (1 - GT_av), axis=1) 184 | n = len(FP_av) 185 | F_av = [] 186 | for ii in range(n): 187 | if (TP_av + FP_av)[ii] != 0 or (TP_av + FN_av)[ii] != 0: 188 | F_av.append(2 * TP_av[ii] / (2 * TP_av[ii] + (FN_av + FP_av)[ii])) 189 | 190 | if len(F_a) == 0: 191 | f_a = 1.0 192 | else: 193 | f_a = (sum(F_a) / len(F_a)) 194 | 195 | if len(F_v) == 0: 196 | f_v = 1.0 197 | else: 198 | f_v = (sum(F_v) / len(F_v)) 199 | 200 | if len(F) == 0: 201 | f = 1.0 202 | else: 203 | f = (sum(F) / len(F)) 204 | 205 | if len(F_av) == 0: 206 | f_av = 1.0 207 | else: 208 | f_av = (sum(F_av) / len(F_av)) 209 | # audio_f1 score/video_f1 score/audio+video f1 score/av f1 score 210 | return f_a, f_v, f, f_av 211 | 212 | 213 | def to_vec(start, end): 214 | x = np.zeros(10) 215 | for i in range(start, end): 216 | x[i] = 1 217 | return x 218 | 219 | def extract_event(seq, n): 220 | x = [] 221 | i = 0 222 | while i < 10: 223 | if seq[i] == 1: 224 | start = i 225 | if i + 1 == 10: 226 | i = i + 1 227 | end = i 228 | x.append(to_vec(start, end)) 229 | break 230 | 231 | for j in range(i + 1, 10): 232 | if seq[j] != 1: 233 | i = j + 1 234 | end = j 235 | x.append(to_vec(start, end)) 236 | break 237 | else: 238 | i = j + 1 239 | if i == 10: 240 | end = i 241 | x.append(to_vec(start, end)) 242 | break 243 | else: 244 | i += 1 245 | return x 246 | 247 | 248 | def event_wise_metric(event_p, event_gt): 249 | TP = 0 250 | FP = 0 251 | FN = 0 252 | 253 | if event_p is not None: 254 | num_event = len(event_p) 255 | for i in range(num_event): 256 | x1 = event_p[i] 257 | if event_gt is not None: 258 | nn = len(event_gt) 259 | flag = True 260 | for j in range(nn): 261 | x2 = event_gt[j] 262 | if np.sum(x1 * x2) >= 0.5*np.sum(x1 + x2 - x1 * x2): 263 | TP += 1 264 | flag = False 265 | break 266 | if flag: 267 | FP += 1 268 | else: 269 | FP += 1 270 | if event_gt is not None: 271 | num_event = len(event_gt) 272 | for i in range(num_event): 273 | x1 = event_gt[i] 274 | if event_p is not None: 275 | nn = len(event_p) 276 | flag = True 277 | for j in range(nn): 278 | x2 = event_p[j] 279 | if np.sum(x1 * x2) >= 0.5 * np.sum(x1 + x2 - x1 * x2): 280 | flag = False 281 | break 282 | if flag: 283 | FN += 1 284 | else: 285 | FN += 1 286 | return TP, FP, FN 287 | 288 | 289 | def print_overall_metric(F_seg_a, F_seg_v, F_seg, F_seg_av, F_event_a, F_event_v, F_event, F_event_av): 290 | audio_segment_level = 100 * np.mean(np.array(F_seg_a)) 291 | visual_segment_level = 100 * np.mean(np.array(F_seg_v)) 292 | av_segment_level = 100 * np.mean(np.array(F_seg_av)) 293 | 294 | avg_type_seg = (100 * np.mean(np.array(F_seg_av)) + 295 | 100 * np.mean(np.array(F_seg_a)) + 296 | 100 * np.mean(np.array(F_seg_v))) / 3. 297 | avg_event_seg = 100 * np.mean(np.array(F_seg)) 298 | 299 | audio_event_level = 100 * np.mean(np.array(F_event_a)) 300 | visual_event_level = 100 * np.mean(np.array(F_event_v)) 301 | av_event_level = 100 * np.mean(np.array(F_event_av)) 302 | 303 | avg_type_eve = (100 * np.mean(np.array(F_event_av)) + 304 | 100 * np.mean(np.array(F_event_a)) + 305 | 100 * np.mean(np.array(F_event_v))) / 3. 306 | avg_event_eve = 100 * np.mean(np.array(F_event)) 307 | 308 | print('Audio Event Detection Segment-level F1, Visual Event Detection Segment-level F1, ' 309 | 'Audio-Visual Event Detection Segment-level F1, Segment-level Type@Avg. F1, ' 310 | 'Segment-level Event@Avg. F1, Audio Event Detection Event-level F1, ' 311 | 'Visual Event Detection Event-level F1, Audio-Visual Event Detection Event-level F1, ' 312 | 'Event-level Type@Avg. F1, Event-level Event@Avg. F1') 313 | print('{:.1f}, {:.1f}, {:.1f}, {:.1f}, {:.1f}, {:.1f}, {:.1f}, {:.1f}, {:.1f}, {:.1f}'. 314 | format(audio_segment_level, visual_segment_level, av_segment_level, avg_type_seg, avg_event_seg, 315 | audio_event_level, visual_event_level, av_event_level, avg_type_eve, avg_event_eve)) 316 | 317 | return audio_segment_level, visual_segment_level, av_segment_level, avg_type_seg, avg_event_seg, \ 318 | audio_event_level, visual_event_level, av_event_level, avg_type_eve, avg_event_eve 319 | --------------------------------------------------------------------------------