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{ | |
"base_config": "config/tts.json", | |
"model_type": "FastSpeech2", | |
"task_type": "tts", | |
"dataset": ["LJSpeech"], | |
"preprocess": { | |
// acoustic features | |
"extract_audio": true, | |
"extract_mel": true, | |
"mel_extract_mode": "taco", | |
"mel_min_max_norm": false, | |
"extract_pitch": true, | |
"extract_uv": false, | |
"pitch_extractor": "dio", | |
"extract_energy": true, | |
"energy_extract_mode": "from_tacotron_stft", | |
"extract_duration": true, | |
"use_phone": true, | |
"pitch_norm": true, | |
"energy_norm": true, | |
"pitch_remove_outlier": true, | |
"energy_remove_outlier": true, | |
// Default config | |
"n_mel": 80, | |
"win_size": 1024, // todo | |
"hop_size": 256, | |
"sample_rate": 22050, | |
"n_fft": 1024, // todo | |
"fmin": 0, | |
"fmax": 8000, // todo | |
"raw_data": "raw_data", | |
"text_cleaners": ["english_cleaners"], | |
"f0_min": 71, // ~C2 | |
"f0_max": 800, //1100, // ~C6(1100), ~G5(800) | |
"pitch_bin": 256, | |
"pitch_max": 1100.0, | |
"pitch_min": 50.0, | |
"is_label": true, | |
"is_mu_law": true, | |
"bits": 8, | |
"mel_min_max_stats_dir": "mel_min_max_stats", | |
"whisper_dir": "whisper", | |
"content_vector_dir": "content_vector", | |
"wenet_dir": "wenet", | |
"mert_dir": "mert", | |
"spk2id":"spk2id.json", | |
"utt2spk":"utt2spk", | |
// Features used for model training | |
"use_mel": true, | |
"use_min_max_norm_mel": false, | |
"use_frame_pitch": false, | |
"use_frame_energy": false, | |
"use_phone_pitch": true, | |
"use_phone_energy": true, | |
"use_log_scale_pitch": false, | |
"use_log_scale_energy": false, | |
"use_spkid": false, | |
"align_mel_duration": true, | |
"text_cleaners": ["english_cleaners"] | |
}, | |
"model": { | |
// Settings for transformer | |
"transformer": { | |
"encoder_layer": 4, | |
"encoder_head": 2, | |
"encoder_hidden": 256, | |
"decoder_layer": 6, | |
"decoder_head": 2, | |
"decoder_hidden": 256, | |
"conv_filter_size": 1024, | |
"conv_kernel_size": [9, 1], | |
"encoder_dropout": 0.2, | |
"decoder_dropout": 0.2 | |
}, | |
// Settings for variance_predictor | |
"variance_predictor":{ | |
"filter_size": 256, | |
"kernel_size": 3, | |
"dropout": 0.5 | |
}, | |
"variance_embedding":{ | |
"pitch_quantization": "linear", // support 'linear' or 'log', 'log' is allowed only if the pitch values are not normalized during preprocessing | |
"energy_quantization": "linear", // support 'linear' or 'log', 'log' is allowed only if the energy values are not normalized during preprocessing | |
"n_bins": 256 | |
}, | |
"max_seq_len": 1000 | |
}, | |
"train":{ | |
"batch_size": 16, | |
"sort_sample": true, | |
"drop_last": true, | |
"group_size": 4, | |
"grad_clip_thresh": 1.0, | |
"dataloader": { | |
"num_worker": 8, | |
"pin_memory": true | |
}, | |
"lr_scheduler":{ | |
"num_warmup": 4000 | |
}, | |
// LR Scheduler | |
"scheduler": "NoamLR", | |
// Optimizer | |
"optimizer": "Adam", | |
"adam": { | |
"lr": 0.0625, | |
"betas": [0.9, 0.98], | |
"eps": 0.000000001, | |
"weight_decay": 0.0 | |
}, | |
} | |
} | |