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| { | |
| "model": "vits", | |
| "run_name": "vits_tts-portuguese", | |
| "run_description": "", | |
| "epochs": 1000, | |
| "batch_size": 52, | |
| "eval_batch_size": 52, | |
| "mixed_precision": false, | |
| "scheduler_after_epoch": true, | |
| "run_eval": true, | |
| "test_delay_epochs": -1, | |
| "print_eval": true, | |
| "dashboard_logger": "tensorboard", | |
| "print_step": 25, | |
| "plot_step": 100, | |
| "model_param_stats": false, | |
| "project_name": null, | |
| "log_model_step": 10000, | |
| "wandb_entity": null, | |
| "save_step": 10000, | |
| "checkpoint": true, | |
| "keep_all_best": false, | |
| "keep_after": 10000, | |
| "num_loader_workers": 4, | |
| "num_eval_loader_workers": 4, | |
| "use_noise_augment": false, | |
| "use_language_weighted_sampler": true, | |
| "output_path": "../checkpoints/VITS-multilingual/VITS_fixes/new/new-SE/use_noise_aument_false/xlarge-ZS-PT-VCTK/pt-en+LibriTTS-fr/speaker_encoder_as_loss_9_alpha/mixed-p-false-bug-SDP-fixed/", | |
| "distributed_backend": "nccl", | |
| "distributed_url": "tcp://localhost:54321", | |
| "audio": { | |
| "fft_size": 1024, | |
| "win_length": 1024, | |
| "hop_length": 256, | |
| "frame_shift_ms": null, | |
| "frame_length_ms": null, | |
| "stft_pad_mode": "reflect", | |
| "sample_rate": 16000, | |
| "resample": false, | |
| "preemphasis": 0.0, | |
| "ref_level_db": 20, | |
| "do_sound_norm": false, | |
| "log_func": "np.log", | |
| "do_trim_silence": true, | |
| "trim_db": 45, | |
| "power": 1.5, | |
| "griffin_lim_iters": 60, | |
| "num_mels": 80, | |
| "mel_fmin": 0.0, | |
| "mel_fmax": null, | |
| "spec_gain": 1, | |
| "do_amp_to_db_linear": false, | |
| "do_amp_to_db_mel": true, | |
| "signal_norm": false, | |
| "min_level_db": -100, | |
| "symmetric_norm": true, | |
| "max_norm": 4.0, | |
| "clip_norm": true, | |
| "stats_path": null | |
| }, | |
| "use_phonemes": false, | |
| "use_espeak_phonemes": false, | |
| "phoneme_language": "pt-br", | |
| "compute_input_seq_cache": false, | |
| "text_cleaner": "multilingual_cleaners", | |
| "enable_eos_bos_chars": false, | |
| "test_sentences_file": "", | |
| "phoneme_cache_path": null, | |
| "characters": { | |
| "pad": "_", | |
| "eos": "&", | |
| "bos": "*", | |
| "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\u00af\u00b7\u00df\u00e0\u00e1\u00e2\u00e3\u00e4\u00e6\u00e7\u00e8\u00e9\u00ea\u00eb\u00ec\u00ed\u00ee\u00ef\u00f1\u00f2\u00f3\u00f4\u00f5\u00f6\u00f9\u00fa\u00fb\u00fc\u00ff\u0101\u0105\u0107\u0113\u0119\u011b\u012b\u0131\u0142\u0144\u014d\u0151\u0153\u015b\u016b\u0171\u017a\u017c\u01ce\u01d0\u01d2\u01d4\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043a\u043b\u043c\u043d\u043e\u043f\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044a\u044b\u044c\u044d\u044e\u044f\u0451\u0454\u0456\u0457\u0491\u2013!'(),-.:;? ", | |
| "punctuations": "!'(),-.:;? ", | |
| "phonemes": "iy\u0268\u0289\u026fu\u026a\u028f\u028ae\u00f8\u0258\u0259\u0275\u0264o\u025b\u0153\u025c\u025e\u028c\u0254\u00e6\u0250a\u0276\u0251\u0252\u1d7b\u0298\u0253\u01c0\u0257\u01c3\u0284\u01c2\u0260\u01c1\u029bpbtd\u0288\u0256c\u025fk\u0261q\u0262\u0294\u0274\u014b\u0272\u0273n\u0271m\u0299r\u0280\u2c71\u027e\u027d\u0278\u03b2fv\u03b8\u00f0sz\u0283\u0292\u0282\u0290\u00e7\u029dx\u0263\u03c7\u0281\u0127\u0295h\u0266\u026c\u026e\u028b\u0279\u027bj\u0270l\u026d\u028e\u029f\u02c8\u02cc\u02d0\u02d1\u028dw\u0265\u029c\u02a2\u02a1\u0255\u0291\u027a\u0267\u025a\u02de\u026b'\u0303' ", | |
| "unique": true | |
| }, | |
| "batch_group_size": 0, | |
| "loss_masking": null, | |
| "min_seq_len": 90, | |
| "max_seq_len": 270, | |
| "compute_f0": false, | |
| "compute_linear_spec": true, | |
| "add_blank": true, | |
| "datasets": [ | |
| { | |
| "name": "vctk", | |
| "path": "../../datasets/VCTK-Corpus-removed-silence_16Khz/", | |
| "meta_file_train": null, | |
| "ununsed_speakers": [ | |
| "p225", | |
| "p234", | |
| "p238", | |
| "p245", | |
| "p248", | |
| "p261", | |
| "p294", | |
| "p302", | |
| "p326", | |
| "p335", | |
| "p347" | |
| ], | |
| "language": "en", | |
| "meta_file_val": null, | |
| "meta_file_attn_mask": "" | |
| }, | |
| { | |
| "name": "libri_tts", | |
| "path": "../../datasets/LibriTTS/LibriTTS/dataset-preprocessed-clean-100-and-360/dataset-22k/", | |
| "meta_file_train": "metadata_all.csv", | |
| "ununsed_speakers": null, | |
| "language": "en", | |
| "meta_file_val": "dev-clean_500.csv", | |
| "meta_file_attn_mask": "" | |
| }, | |
| { | |
| "name": "brspeech", | |
| "path": "../../datasets/TTS-Portuguese-Corpus_16khz/", | |
| "meta_file_train": "train_TTS-Portuguese_Corpus_metadata.csv", | |
| "ununsed_speakers": null, | |
| "language": "pt-br", | |
| "meta_file_val": "eval_TTS-Portuguese_Corpus_metadata.csv", | |
| "meta_file_attn_mask": "" | |
| }, | |
| { | |
| "name": "mailabs", | |
| "path": "../../datasets/M-AILABS/fr_FR", | |
| "meta_file_train": "", | |
| "ununsed_speakers": null, | |
| "language": "fr-fr", | |
| "meta_file_val": null, | |
| "meta_file_attn_mask": null | |
| } | |
| ], | |
| "optimizer": "AdamW", | |
| "optimizer_params": { | |
| "betas": [ | |
| 0.8, | |
| 0.99 | |
| ], | |
| "eps": 1e-09, | |
| "weight_decay": 0.01 | |
| }, | |
| "lr_scheduler": "", | |
| "lr_scheduler_params": null, | |
| "test_sentences": [ | |
| [ | |
| "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", | |
| "VCTK_p225", | |
| null, | |
| "en" | |
| ], | |
| [ | |
| "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", | |
| "ED", | |
| null, | |
| "en" | |
| ], | |
| [ | |
| "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", | |
| "bernard", | |
| null, | |
| "en" | |
| ], | |
| [ | |
| "This cake is great. It's so delicious and moist.", | |
| "VCTK_p234", | |
| null, | |
| "en" | |
| ], | |
| [ | |
| "This cake is great. It's so delicious and moist.", | |
| "ED", | |
| null, | |
| "en" | |
| ], | |
| [ | |
| "This cake is great. It's so delicious and moist.", | |
| "ezwa", | |
| null, | |
| "en" | |
| ], | |
| [ | |
| "Hoje \u00e9 fundamental encontrar a raz\u00e3o da exist\u00eancia humana.", | |
| "ED", | |
| null, | |
| "pt-br" | |
| ], | |
| [ | |
| "Hoje \u00e9 fundamental encontrar a raz\u00e3o da exist\u00eancia humana.", | |
| "VCTK_p238", | |
| null, | |
| "pt-br" | |
| ], | |
| [ | |
| "Hoje \u00e9 fundamental encontrar a raz\u00e3o da exist\u00eancia humana.", | |
| "gilles_g_le_blanc", | |
| null, | |
| "pt-br" | |
| ], | |
| [ | |
| "Em muitas cidades a popula\u00e7\u00e3o est\u00e1 diminuindo.", | |
| "ED", | |
| null, | |
| "pt-br" | |
| ], | |
| [ | |
| "Em muitas cidades a popula\u00e7\u00e3o est\u00e1 diminuindo.", | |
| "VCTK_p245", | |
| null, | |
| "pt-br" | |
| ], | |
| [ | |
| "Em muitas cidades a popula\u00e7\u00e3o est\u00e1 diminuindo.", | |
| "nadine_eckert_boulet", | |
| null, | |
| "pt-br" | |
| ], | |
| [ | |
| "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", | |
| "VCTK_p245", | |
| null, | |
| "fr-fr" | |
| ], | |
| [ | |
| "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", | |
| "ED", | |
| null, | |
| "fr-fr" | |
| ], | |
| [ | |
| "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", | |
| "ezwa", | |
| null, | |
| "fr-fr" | |
| ], | |
| [ | |
| "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", | |
| "bernard", | |
| null, | |
| "fr-fr" | |
| ], | |
| [ | |
| "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", | |
| "gilles_g_le_blanc", | |
| null, | |
| "fr-fr" | |
| ], | |
| [ | |
| "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", | |
| "nadine_eckert_boulet", | |
| null, | |
| "fr-fr" | |
| ], | |
| [ | |
| "Il m'a fallu beaucoup de temps pour d\u00e9velopper une voix, et maintenant que je l'ai, je ne vais pas me taire.", | |
| "zeckou", | |
| null, | |
| "fr-fr" | |
| ] | |
| ], | |
| "use_speaker_embedding": true, | |
| "use_d_vector_file": true, | |
| "d_vector_dim": 512, | |
| "model_args": { | |
| "num_chars": 165, | |
| "out_channels": 513, | |
| "spec_segment_size": 62, | |
| "hidden_channels": 192, | |
| "hidden_channels_ffn_text_encoder": 768, | |
| "num_heads_text_encoder": 2, | |
| "num_layers_text_encoder": 10, | |
| "kernel_size_text_encoder": 3, | |
| "dropout_p_text_encoder": 0.1, | |
| "dropout_p_duration_predictor": 0.5, | |
| "kernel_size_posterior_encoder": 5, | |
| "dilation_rate_posterior_encoder": 1, | |
| "num_layers_posterior_encoder": 16, | |
| "kernel_size_flow": 5, | |
| "dilation_rate_flow": 1, | |
| "num_layers_flow": 4, | |
| "resblock_type_decoder": 1, | |
| "resblock_kernel_sizes_decoder": [ | |
| 3, | |
| 7, | |
| 11 | |
| ], | |
| "resblock_dilation_sizes_decoder": [ | |
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| 1, | |
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| 5 | |
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| [ | |
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| [ | |
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| ], | |
| "upsample_rates_decoder": [ | |
| 8, | |
| 8, | |
| 2, | |
| 2 | |
| ], | |
| "upsample_initial_channel_decoder": 512, | |
| "upsample_kernel_sizes_decoder": [ | |
| 16, | |
| 16, | |
| 4, | |
| 4 | |
| ], | |
| "use_sdp": true, | |
| "noise_scale": 1.0, | |
| "inference_noise_scale": 0.667, | |
| "length_scale": 1, | |
| "noise_scale_dp": 1.0, | |
| "inference_noise_scale_dp": 0.8, | |
| "max_inference_len": null, | |
| "init_discriminator": true, | |
| "use_spectral_norm_disriminator": false, | |
| "use_speaker_embedding": true, | |
| "num_speakers": 1244, | |
| "speakers_file": null, | |
| "d_vector_file": "../speaker_embeddings/new-SE/VCTK-LibriTTS+TTS-PT+MAILABS-FR/speakers.json", | |
| "speaker_embedding_channels": 512, | |
| "use_d_vector_file": true, | |
| "d_vector_dim": 512, | |
| "detach_dp_input": true, | |
| "use_language_embedding": true, | |
| "embedded_language_dim": 4, | |
| "num_languages": 3, | |
| "use_speaker_encoder_as_loss": true, | |
| "speaker_encoder_config_path": "../checkpoints/Speaker_Encoder/Resnet-original-paper/config.json", | |
| "speaker_encoder_model_path": "../checkpoints/Speaker_Encoder/Resnet-original-paper/converted_checkpoint.pth.tar", | |
| "fine_tuning_mode": 0, | |
| "freeze_encoder": false, | |
| "freeze_DP": false, | |
| "freeze_PE": false, | |
| "freeze_flow_decoder": false, | |
| "freeze_waveform_decoder": false | |
| }, | |
| "grad_clip": [ | |
| 5.0, | |
| 5.0 | |
| ], | |
| "lr_gen": 0.0002, | |
| "lr_disc": 0.0002, | |
| "lr_scheduler_gen": "ExponentialLR", | |
| "lr_scheduler_gen_params": { | |
| "gamma": 0.999875, | |
| "last_epoch": -1 | |
| }, | |
| "lr_scheduler_disc": "ExponentialLR", | |
| "lr_scheduler_disc_params": { | |
| "gamma": 0.999875, | |
| "last_epoch": -1 | |
| }, | |
| "kl_loss_alpha": 1.0, | |
| "disc_loss_alpha": 1.0, | |
| "gen_loss_alpha": 1.0, | |
| "feat_loss_alpha": 1.0, | |
| "mel_loss_alpha": 45.0, | |
| "dur_loss_alpha": 1.0, | |
| "speaker_encoder_loss_alpha": 9.0, | |
| "return_wav": true, | |
| "r": 1 | |
| } |