Init model

config.json

@@ -0,0 +1,222 @@
+{
+ "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
+}

model_file.pth.tar

@@ -0,0 +1,3 @@
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