{ "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": [ [ 1, 3, 5 ], [ 1, 3, 5 ], [ 1, 3, 5 ] ], "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 }