├── README.md ├── average_wer.py ├── cal_sim.sh ├── cal_wer.sh ├── get_wav_res_ref_text.py ├── prepare_ckpt.py ├── requirements.txt ├── run_wer.py └── thirdparty └── UniSpeech ├── .gitignore ├── ILS-SSL └── README.md ├── LICENSE ├── README.md ├── UniSpeech-SAT ├── README.md └── UniSpeech_SAT_SUPERB_Results.png ├── UniSpeech └── README.md ├── WavLM ├── README.md ├── WavLM.py ├── WavLM_ASR.PNG ├── WavLM_SUPERB_Leaderboard.png ├── WavLM_SUPERB_Results.png └── modules.py ├── azure-pipelines.yml ├── downstreams ├── speaker_diarization │ ├── README.md │ ├── config │ │ ├── infer_est_nspk1.yaml │ │ └── unispeech_sat.th │ ├── diarization.py │ ├── models │ │ ├── models.py │ │ ├── transformer.py │ │ └── utils.py │ ├── requirements.txt │ ├── tmp │ │ └── mix_0000496.wav │ └── utils │ │ ├── dataset.py │ │ ├── kaldi_data.py │ │ ├── parse_options.sh │ │ └── utils.py └── speaker_verification │ ├── README.md │ ├── average.py │ ├── config │ └── unispeech_sat.th │ ├── extract_embedding.py │ ├── extract_spks_from_score_file.py │ ├── models │ ├── __init__.py │ ├── ecapa_tdnn.py │ └── utils.py │ ├── requirements.txt │ ├── run.sh │ ├── select.py │ ├── tmp1.wav │ ├── utils │ └── hubconf.py │ ├── verification.py │ ├── verification.sh │ ├── verification_pair_list_v2.py │ ├── verification_tsv.py │ ├── vox1_data │ ├── David_Faustino │ │ ├── hn8GyCJIfLM_0000012.wav │ │ └── xTOk1Jz-F_g_0000015.wav │ ├── Josh_Gad │ │ ├── HXUqYaOwrxA_0000015.wav │ │ └── RFyw7V3SOnQ_0000001.wav │ ├── Lea_Thompson │ │ ├── HladKGyKTLM_0000006.wav │ │ └── mHTAr5dlAgc_0000004.wav │ └── Zulay_Henao │ │ ├── WbB8m9-wlIQ_0000001.wav │ │ └── gFfcgOVmiO0_0000002.wav │ └── wget-log └── src ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── config ├── config.yaml ├── criterion │ ├── adaptive_loss.yaml │ └── cross_entropy.yaml ├── lr_scheduler │ ├── cosine.yaml │ └── inverse_sqrt.yaml ├── model │ ├── transformer_lm.yaml │ ├── transformer_lm_baevski_gbw.yaml │ ├── transformer_lm_baevski_wiki103.yaml │ ├── transformer_lm_big.yaml │ ├── transformer_lm_gbw.yaml │ ├── transformer_lm_gpt.yaml │ ├── transformer_lm_gpt2_big.yaml │ ├── transformer_lm_gpt2_medium.yaml │ ├── transformer_lm_gpt2_small.yaml │ └── transformer_lm_wiki103.yaml ├── optimizer │ ├── adam.yaml │ └── nag.yaml └── task │ └── language_modeling.yaml ├── examples ├── .gitignore ├── __init__.py ├── hubert │ ├── scripts │ │ ├── ctc_decode.sh │ │ ├── finetune.sh │ │ └── pretrain.sh │ ├── simple_kmeans │ │ ├── README.md │ │ ├── dump_hubert_feature.py │ │ ├── dump_hubert_feature_s2t.py │ │ ├── dump_km_label.py │ │ ├── dump_mfcc_feature.py │ │ └── learn_kmeans.py │ └── update_ckpt.py ├── speaker_verification │ ├── README.md │ ├── config │ │ └── unispeech_sat.th │ ├── models │ │ ├── __init__.py │ │ ├── ecapa_tdnn.py │ │ └── utils.py │ ├── requirements.txt │ ├── verification.py │ └── vox1_data │ │ ├── David_Faustino │ │ ├── hn8GyCJIfLM_0000012.wav │ │ └── xTOk1Jz-F_g_0000015.wav │ │ ├── Josh_Gad │ │ ├── HXUqYaOwrxA_0000015.wav │ │ └── RFyw7V3SOnQ_0000001.wav │ │ ├── Lea_Thompson │ │ ├── HladKGyKTLM_0000006.wav │ │ └── mHTAr5dlAgc_0000004.wav │ │ └── Zulay_Henao │ │ ├── WbB8m9-wlIQ_0000001.wav │ │ └── gFfcgOVmiO0_0000002.wav ├── speech_recognition │ ├── compute_WER.py │ ├── infer.py │ └── w2l_decoder.py └── unispeech │ ├── adjust_sample_rate.py │ ├── libri_labels.py │ ├── scripts │ ├── continue_pretrain.sh │ ├── finetune.sh │ ├── inference.sh │ ├── multilingal_large_pretrain.sh │ └── one2one_large_pretrain_en1350.sh │ ├── unispeech_manifest.py │ └── wav2vec_manifest.py ├── fairseq ├── __init__.py ├── binarizer.py ├── checkpoint_utils.py ├── clib │ ├── cuda │ │ ├── ngram_repeat_block_cuda.cpp │ │ └── ngram_repeat_block_cuda_kernel.cu │ ├── libbase │ │ └── balanced_assignment.cpp │ ├── libbleu │ │ ├── libbleu.cpp │ │ └── module.cpp │ ├── libnat │ │ └── edit_dist.cpp │ └── libnat_cuda │ │ ├── binding.cpp │ │ ├── edit_dist.cu │ │ └── edit_dist.h ├── config │ ├── __init__.py │ └── config.yaml ├── criterions │ ├── __init__.py │ ├── adaptive_loss.py │ ├── cross_entropy.py │ ├── ctc.py │ ├── fairseq_criterion.py │ ├── hubert_criterion.py │ ├── unispeech_criterion.py │ ├── wav2vec_criterion.py │ └── wavlm_criterion.py ├── data │ ├── __init__.py │ ├── add_target_dataset.py │ ├── audio │ │ ├── __init__.py │ │ ├── audio_utils.py │ │ ├── chunk_audio_dataset.py │ │ ├── feats_dataset.py │ │ ├── feature_transforms │ │ │ ├── __init__.py │ │ │ ├── global_cmvn.py │ │ │ ├── specaugment.py │ │ │ └── utterance_cmvn.py │ │ ├── hubert_dataset.py │ │ ├── raw_audio_dataset.py │ │ ├── speech_to_text_dataset.py │ │ └── utterance_mixing_dataset.py │ ├── base_wrapper_dataset.py │ ├── concat_dataset.py │ ├── data_utils.py │ ├── data_utils_fast.cpp │ ├── data_utils_fast.cpython-36m-x86_64-linux-gnu.so │ ├── data_utils_fast.cpython-37m-x86_64-linux-gnu.so │ ├── data_utils_fast.pyx │ ├── dictionary.py │ ├── encoders │ │ ├── __init__.py │ │ ├── byte_bpe.py │ │ ├── byte_utils.py │ │ ├── bytes.py │ │ ├── characters.py │ │ ├── moses_tokenizer.py │ │ ├── sentencepiece_bpe.py │ │ └── utils.py │ ├── fairseq_dataset.py │ ├── fasta_dataset.py │ ├── id_dataset.py │ ├── indexed_dataset.py │ ├── iterators.py │ ├── legacy │ │ ├── __init__.py │ │ ├── block_pair_dataset.py │ │ ├── masked_lm_dataset.py │ │ └── masked_lm_dictionary.py │ ├── monolingual_dataset.py │ ├── plasma_utils.py │ ├── resampling_dataset.py │ ├── shorten_dataset.py │ ├── token_block_dataset.py │ └── token_block_utils_fast.pyx ├── dataclass │ ├── __init__.py │ ├── configs.py │ ├── constants.py │ ├── initialize.py │ └── utils.py ├── distributed │ ├── __init__.py │ ├── distributed_timeout_wrapper.py │ ├── fully_sharded_data_parallel.py │ ├── legacy_distributed_data_parallel.py │ ├── module_proxy_wrapper.py │ └── utils.py ├── file_io.py ├── file_utils.py ├── hub_utils.py ├── incremental_decoding_utils.py ├── iterative_refinement_generator.py ├── legacy_distributed_data_parallel.py ├── logging │ ├── __init__.py │ ├── meters.py │ ├── metrics.py │ └── progress_bar.py ├── models │ ├── __init__.py │ ├── composite_encoder.py │ ├── distributed_fairseq_model.py │ ├── fairseq_decoder.py │ ├── fairseq_encoder.py │ ├── fairseq_incremental_decoder.py │ ├── fairseq_model.py │ ├── hubert │ │ ├── __init__.py │ │ ├── hubert.py │ │ ├── hubert_asr.py │ │ └── ils_hubert.py │ ├── model_utils.py │ ├── transformer.py │ ├── transformer_lm.py │ ├── unispeech │ │ ├── __init__.py │ │ └── unispeech.py │ ├── unispeech_sat │ │ ├── __init__.py │ │ └── unispeech_sat.py │ ├── wav2vec │ │ ├── __init__.py │ │ ├── wav2vec2.py │ │ └── wav2vec2_asr.py │ └── wavlm │ │ ├── __init__.py │ │ └── wavlm.py ├── modules │ ├── __init__.py │ ├── adaptive_input.py │ ├── base_layer.py │ ├── character_token_embedder.py │ ├── checkpoint_activations.py │ ├── cross_entropy.py │ ├── cuda_utils.cu │ ├── fairseq_dropout.py │ ├── fp32_group_norm.py │ ├── gelu.py │ ├── grad_multiply.py │ ├── gumbel_vector_quantizer.py │ ├── kmeans_attention.py │ ├── kmeans_vector_quantizer.py │ ├── layer_drop.py │ ├── layer_norm.py │ ├── learned_positional_embedding.py │ ├── multihead_attention.py │ ├── positional_embedding.py │ ├── quant_noise.py │ ├── same_pad.py │ ├── sinusoidal_positional_embedding.py │ ├── transformer_layer.py │ ├── transformer_sentence_encoder.py │ ├── transformer_sentence_encoder_layer.py │ └── transpose_last.py ├── nan_detector.py ├── ngram_repeat_block.py ├── optim │ ├── __init__.py │ ├── adam.py │ ├── amp_optimizer.py │ ├── bmuf.py │ ├── composite.py │ ├── cpu_adam.py │ ├── dynamic_loss_scaler.py │ ├── fairseq_optimizer.py │ ├── fp16_optimizer.py │ ├── fused_adam.py │ ├── lr_scheduler │ │ ├── __init__.py │ │ ├── fairseq_lr_scheduler.py │ │ ├── fixed_schedule.py │ │ ├── inverse_square_root_schedule.py │ │ ├── polynomial_decay_schedule.py │ │ └── tri_stage_lr_scheduler.py │ ├── nag.py │ └── shard.py ├── options.py ├── pdb.py ├── registry.py ├── search.py ├── sequence_generator.py ├── sequence_scorer.py ├── tasks │ ├── __init__.py │ ├── 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