├── .gitignore ├── .vscode └── launch.json ├── LICENSE ├── README.md ├── arch.png ├── arch_v2.png ├── arch_v3.png ├── demo.ipynb ├── demo_wenet.ipynb ├── filename ├── gen_.wav ├── gen_en.wav ├── gen_jp.wav ├── gen_kr.wav ├── gen_zh.wav ├── img ├── duration.png ├── overview.png └── t-SNE.png ├── setup.py ├── trace.json ├── ttts.egg-info ├── PKG-INFO ├── SOURCES.txt ├── dependency_links.txt └── top_level.txt ├── ttts ├── 0.wav ├── 1.wav ├── 2.wav ├── 3.wav ├── 4.wav ├── 5.wav ├── 6.wav ├── 7.wav ├── 8.wav ├── api.py ├── classifier │ ├── config.json │ ├── dataset.py │ ├── infer.py │ ├── model.py │ └── train.py ├── clvp │ ├── __init__.py │ ├── config.json │ ├── dataset.py │ ├── model.py │ └── train.py ├── data │ ├── 000001-010000.txt │ ├── bpe_train-set.txt │ └── label_train-set.txt ├── diffusion │ ├── __init__.py │ ├── aa_model.py │ ├── cldm │ │ ├── cond_emb.py │ │ ├── modified_resnet.py │ │ ├── pos_embed.py │ │ ├── timm_model.py │ │ ├── transformer.py │ │ └── utils.py │ ├── commons.py │ ├── config.yaml │ ├── dataset.py │ ├── diffusion_util.py │ ├── ldm │ │ ├── data │ │ │ ├── __init__.py │ │ │ └── util.py │ │ ├── models │ │ │ ├── autoencoder.py │ │ │ └── diffusion │ │ │ │ ├── __init__.py │ │ │ │ ├── ddim.py │ │ │ │ ├── ddpm.py │ │ │ │ ├── dpm_solver │ │ │ │ ├── __init__.py │ │ │ │ ├── dpm_solver.py │ │ │ │ └── sampler.py │ │ │ │ ├── plms.py │ │ │ │ └── sampling_util.py │ │ ├── modules │ │ │ ├── attention.py │ │ │ ├── diffusionmodules │ │ │ │ ├── __init__.py │ │ │ │ ├── model.py │ │ │ │ ├── openaimodel.py │ │ │ │ ├── upscaling.py │ │ │ │ └── util.py │ │ │ ├── distributions │ │ │ │ ├── __init__.py │ │ │ │ └── distributions.py │ │ │ ├── ema.py │ │ │ ├── encoders │ │ │ │ ├── __init__.py │ │ │ │ └── modules.py │ │ │ ├── image_degradation │ │ │ │ ├── __init__.py │ │ │ │ ├── bsrgan.py │ │ │ │ ├── bsrgan_light.py │ │ │ │ ├── utils │ │ │ │ │ └── test.png │ │ │ │ └── utils_image.py │ │ │ └── midas │ │ │ │ ├── __init__.py │ │ │ │ ├── api.py │ │ │ │ ├── midas │ │ │ │ ├── __init__.py │ │ │ │ ├── base_model.py │ │ │ │ ├── blocks.py │ │ │ │ ├── dpt_depth.py │ │ │ │ ├── midas_net.py │ │ │ │ ├── midas_net_custom.py │ │ │ │ ├── transforms.py │ │ │ │ └── vit.py │ │ │ │ └── utils.py │ │ └── util.py │ ├── model.py │ ├── mrte.py │ ├── operations.py │ ├── train.py │ └── utils.py ├── en.wav ├── gpt │ ├── __init__.py │ ├── config.json │ ├── dataset.py │ ├── gpt_tts_tokenizer.json │ ├── model.py │ ├── perceiver.py │ ├── train.py │ └── voice_tokenizer.py ├── jp.wav ├── kr.wav ├── prepare │ ├── 1_vad_asr_save_to_jsonl.py │ ├── 2_romanize_text.py │ ├── __init__.py │ ├── add_lang.py │ ├── asr_process.py │ ├── bpe_all_text_to_one_file.py │ ├── delete_one_file_dir.py │ ├── extract_dur.py │ ├── extract_vq.py │ ├── fast_multiprocess.py │ ├── filter_noise_and_other_spk.py │ ├── genshin_preprocess.py │ ├── genshin_script.py │ ├── genshin_sieve.py │ ├── hubert_one.py │ ├── hubert_to_disk.py │ ├── mel_extract.py │ ├── process_romanize.py │ ├── remove_empty_paths.py │ ├── save_dur_to_disk.py │ ├── save_mel_to_disk.py │ ├── unique_spk.py │ ├── unique_spk_process.py │ └── vad_process.py ├── pretrained_models │ └── pytorch_model.bin ├── sampler │ ├── dpm_solver.py │ └── uni_pc.py ├── script │ ├── __init__.py │ ├── do_to_files.py │ └── filter_nohifreq_data.py ├── spider │ ├── download.py │ ├── duration_calc.sh │ ├── spider.py │ ├── xmly_spider.py │ └── xmlyfetcher ├── tokenizers │ ├── en_tokenizer.json │ ├── jp_tokenizer.json │ ├── kr_tokenizer.json │ ├── voice_tokenizer.py │ ├── wenet_tokenizer.json │ └── zh_tokenizer.json ├── unet1d │ ├── __init__.py │ ├── activations.py │ ├── attention.py │ ├── attention_processor.py │ ├── dual_transformer_1d.py │ ├── embeddings.py │ ├── lora.py │ ├── outputs.py │ ├── resnet.py │ ├── transformer_1d.py │ ├── unet_1d_blocks.py │ └── unet_1d_condition.py ├── utils │ ├── __init__.py │ ├── cnhubert.py │ ├── commons.py │ ├── data_utils.py │ ├── diffusion.py │ ├── infer_utils.py │ ├── injectors.py │ ├── random_latent_generator.py │ ├── resample.py │ ├── stft.py │ ├── transformer.py │ ├── typical_sampling.py │ ├── utils.py │ ├── vc_utils.py │ ├── wav2vec_alignment.py │ └── xtransformers.py ├── vc.py ├── vocoder │ ├── __init__.py │ ├── config.yaml │ ├── feature_extractors.py │ ├── heads.py │ ├── models.py │ ├── modules.py │ ├── spectral_ops.py │ └── vocos.py └── vqvae │ ├── __init__.py │ ├── activations.py │ ├── added_IVF105_Flat_nprobe_1.index │ ├── alias_free_torch │ ├── __init__.py │ ├── act.py │ ├── filter.py │ └── resample.py │ ├── attentions.py │ ├── augment │ ├── __init__.py │ ├── peq.py │ └── praat.py │ ├── config_v3.json │ ├── config_v3_wenet.json │ ├── core_vq.py │ ├── dataset.py │ ├── dvae.py │ ├── eval.py │ ├── hierspeechpp_speechsynthesizer.py │ ├── hifigan.py │ ├── losses.py │ ├── mel_draw.py │ ├── modules.py │ ├── monotonic_align │ ├── __init__.py │ └── core.py │ ├── process_ckpt.py │ ├── quantize.py │ ├── ref_encoder.py │ ├── rvq1.py │ ├── test.py │ ├── torch_augment.py 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