tts-vits-mai-uk / config.json
NeonBohdan's picture
Init model
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{
"model": "vits",
"run_name": "vits_ljspeech",
"run_description": "",
"epochs": 1000,
"batch_size": 18,
"eval_batch_size": 16,
"mixed_precision": true,
"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": null,
"wandb_entity": null,
"save_step": 10000,
"checkpoint": true,
"keep_all_best": false,
"keep_after": 10000,
"num_loader_workers": 12,
"num_eval_loader_workers": 12,
"use_noise_augment": false,
"output_path": "./ukrainian-vits",
"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": 1.3,
"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": true,
"phoneme_language": null,
"compute_input_seq_cache": true,
"text_cleaner": "basic_cleaners",
"enable_eos_bos_chars": false,
"test_sentences_file": "",
"phoneme_cache_path": "./ukrainian/phoneme_cache",
"characters": {
"characters_class": "TTS.tts.models.vits.VitsCharacters",
"pad": "_",
"eos": "~",
"bos": "^",
"characters": "!',-.:;?\u0410\u0411\u0412\u0413\u0490\u0414\u0415\u0404\u0416\u0417\u0418\u0406\u0407\u0419\u041a\u041b\u041c\u041d\u041e\u041f\u0420\u0421\u0422\u0423\u0424\u0425\u0426\u0427\u0428\u0429\u042c\u042e\u042f\u0430\u0431\u0432\u0433\u0491\u0434\u0435\u0454\u0436\u0437\u0438\u0456\u0457\u0439\u043a\u043b\u043c\u043d\u043e\u043f\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044c\u044e\u044f ",
"punctuations": "!',-.:;? ",
"phonemes": null,
"unique": true
},
"batch_group_size": 5,
"loss_masking": null,
"sort_by_audio_len": true,
"min_seq_len": 0,
"max_seq_len": 500000,
"compute_f0": false,
"compute_linear_spec": true,
"add_blank": true,
"datasets": [
{
"name": "ljspeech",
"path": "./Data/uk_UK/by_book/female/sumska/kaydasheva",
"meta_file_train": "metadata.csv",
"ununsed_speakers": null,
"meta_file_val": "",
"meta_file_attn_mask": ""
},
{
"name": "ljspeech",
"path": "./Data/uk_UK/by_book/female/sumska/mykola_djerya",
"meta_file_train": "metadata.csv",
"ununsed_speakers": null,
"meta_file_val": "",
"meta_file_attn_mask": ""
}
],
"optimizer": "AdamW",
"optimizer_params": {
"betas": [
0.8,
0.99
],
"eps": 1e-09,
"weight_decay": 0.01
},
"lr_scheduler": "",
"lr_scheduler_params": {},
"test_sentences": [
"\u0413\u043e\u0432\u043e\u0440\u0438 \u043d\u0456\u0431\u0438 \u0442\u0438 \u0436\u0438\u0432\u0438\u0439!",
"\u041f\u043e\u043b \u043f\u0435\u0440\u0435\u0442\u043d\u0443\u0432 \u043f\u0443\u0441\u0442\u0435\u043b\u044e",
"\u041f\u0440\u0438\u0432\u0456\u0442, \u0441\u0432\u0456\u0442\u0435!"
],
"model_args": {
"num_chars": 86,
"out_channels": 513,
"spec_segment_size": 24,
"hidden_channels": 192,
"hidden_channels_ffn_text_encoder": 768,
"num_heads_text_encoder": 2,
"num_layers_text_encoder": 6,
"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": 1.0,
"noise_scale_dp": 1.0,
"inference_noise_scale_dp": 1.0,
"max_inference_len": null,
"init_discriminator": true,
"use_spectral_norm_disriminator": false,
"use_speaker_embedding": false,
"num_speakers": 0,
"speakers_file": null,
"speaker_embedding_channels": 256,
"use_d_vector_file": false,
"d_vector_file": null,
"d_vector_dim": 0,
"detach_dp_input": true
},
"grad_clip": [
1000.0,
1000.0
],
"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,
"return_wav": true,
"r": 1,
"num_speakers": 0,
"use_speaker_embedding": false,
"speakers_file": null,
"speaker_embedding_channels": 256,
"use_d_vector_file": false,
"d_vector_file": null,
"d_vector_dim": 0
}