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A10G
Running
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A10G
| { | |
| "supported_model_type": [ | |
| "GANVocoder", | |
| "Fastspeech2", | |
| "DiffSVC", | |
| "Transformer", | |
| "EDM", | |
| "CD" | |
| ], | |
| "task_type": "", | |
| "dataset": [], | |
| "use_custom_dataset": false, | |
| "preprocess": { | |
| "phone_extractor": "espeak", // "espeak, pypinyin, pypinyin_initials_finals, lexicon" | |
| // trim audio silence | |
| "data_augment": false, | |
| "trim_silence": false, | |
| "num_silent_frames": 8, | |
| "trim_fft_size": 512, // fft size used in trimming | |
| "trim_hop_size": 128, // hop size used in trimming | |
| "trim_top_db": 30, // top db used in trimming sensitive to each dataset | |
| // acoustic features | |
| "extract_mel": false, | |
| "mel_extract_mode": "", | |
| "extract_linear_spec": false, | |
| "extract_mcep": false, | |
| "extract_pitch": false, | |
| "extract_acoustic_token": false, | |
| "pitch_remove_outlier": false, | |
| "extract_uv": false, | |
| "pitch_norm": false, | |
| "extract_audio": false, | |
| "extract_label": false, | |
| "pitch_extractor": "parselmouth", // pyin, dio, pyworld, pyreaper, parselmouth, CWT (Continuous Wavelet Transform) | |
| "extract_energy": false, | |
| "energy_remove_outlier": false, | |
| "energy_norm": false, | |
| "energy_extract_mode": "from_mel", | |
| "extract_duration": false, | |
| "extract_amplitude_phase": false, | |
| "mel_min_max_norm": false, | |
| // lingusitic features | |
| "extract_phone": false, | |
| "lexicon_path": "./text/lexicon/librispeech-lexicon.txt", | |
| // content features | |
| "extract_whisper_feature": false, | |
| "extract_contentvec_feature": false, | |
| "extract_mert_feature": false, | |
| "extract_wenet_feature": false, | |
| // Settings for data preprocessing | |
| "n_mel": 80, | |
| "win_size": 480, | |
| "hop_size": 120, | |
| "sample_rate": 24000, | |
| "n_fft": 1024, | |
| "fmin": 0, | |
| "fmax": 12000, | |
| "min_level_db": -115, | |
| "ref_level_db": 20, | |
| "bits": 8, | |
| // Directory names of processed data or extracted features | |
| "processed_dir": "processed_data", | |
| "trimmed_wav_dir": "trimmed_wavs", // directory name of silence trimed wav | |
| "raw_data": "raw_data", | |
| "phone_dir": "phones", | |
| "wav_dir": "wavs", // directory name of processed wav (such as downsampled waveform) | |
| "audio_dir": "audios", | |
| "log_amplitude_dir": "log_amplitudes", | |
| "phase_dir": "phases", | |
| "real_dir": "reals", | |
| "imaginary_dir": "imaginarys", | |
| "label_dir": "labels", | |
| "linear_dir": "linears", | |
| "mel_dir": "mels", // directory name of extraced mel features | |
| "mcep_dir": "mcep", // directory name of extraced mcep features | |
| "dur_dir": "durs", | |
| "symbols_dict": "symbols.dict", | |
| "lab_dir": "labs", // directory name of extraced label features | |
| "wenet_dir": "wenet", // directory name of extraced wenet features | |
| "contentvec_dir": "contentvec", // directory name of extraced wenet features | |
| "pitch_dir": "pitches", // directory name of extraced pitch features | |
| "energy_dir": "energys", // directory name of extracted energy features | |
| "phone_pitch_dir": "phone_pitches", // directory name of extraced pitch features | |
| "phone_energy_dir": "phone_energys", // directory name of extracted energy features | |
| "uv_dir": "uvs", // directory name of extracted unvoiced features | |
| "duration_dir": "duration", // ground-truth duration file | |
| "phone_seq_file": "phone_seq_file", // phoneme sequence file | |
| "file_lst": "file.lst", | |
| "train_file": "train.json", // training set, the json file contains detailed information about the dataset, including dataset name, utterance id, duration of the utterance | |
| "valid_file": "valid.json", // validattion set | |
| "spk2id": "spk2id.json", // used for multi-speaker dataset | |
| "utt2spk": "utt2spk", // used for multi-speaker dataset | |
| "emo2id": "emo2id.json", // used for multi-emotion dataset | |
| "utt2emo": "utt2emo", // used for multi-emotion dataset | |
| // Features used for model training | |
| "use_text": false, | |
| "use_phone": false, | |
| "use_phn_seq": false, | |
| "use_lab": false, | |
| "use_linear": false, | |
| "use_mel": false, | |
| "use_min_max_norm_mel": false, | |
| "use_wav": false, | |
| "use_phone_pitch": false, | |
| "use_log_scale_pitch": false, | |
| "use_phone_energy": false, | |
| "use_phone_duration": false, | |
| "use_log_scale_energy": false, | |
| "use_wenet": false, | |
| "use_dur": false, | |
| "use_spkid": false, // True: use speaker id for multi-speaker dataset | |
| "use_emoid": false, // True: use emotion id for multi-emotion dataset | |
| "use_frame_pitch": false, | |
| "use_uv": false, | |
| "use_frame_energy": false, | |
| "use_frame_duration": false, | |
| "use_audio": false, | |
| "use_label": false, | |
| "use_one_hot": false, | |
| "use_amplitude_phase": false, | |
| "data_augment": false, | |
| "align_mel_duration": false | |
| }, | |
| "train": { | |
| "ddp": true, | |
| "random_seed": 970227, | |
| "batch_size": 16, | |
| "max_steps": 1000000, | |
| // Trackers | |
| "tracker": [ | |
| "tensorboard" | |
| // "wandb", | |
| // "cometml", | |
| // "mlflow", | |
| ], | |
| "max_epoch": -1, | |
| // -1 means no limit | |
| "save_checkpoint_stride": [ | |
| 5, | |
| 20 | |
| ], | |
| // unit is epoch | |
| "keep_last": [ | |
| 3, | |
| -1 | |
| ], | |
| // -1 means infinite, if one number will broadcast | |
| "run_eval": [ | |
| false, | |
| true | |
| ], | |
| // if one number will broadcast | |
| // Fix the random seed | |
| "random_seed": 10086, | |
| // Optimizer | |
| "optimizer": "AdamW", | |
| "adamw": { | |
| "lr": 4.0e-4 | |
| // nn model lr | |
| }, | |
| // LR Scheduler | |
| "scheduler": "ReduceLROnPlateau", | |
| "reducelronplateau": { | |
| "factor": 0.8, | |
| "patience": 10, | |
| // unit is epoch | |
| "min_lr": 1.0e-4 | |
| }, | |
| // Batchsampler | |
| "sampler": { | |
| "holistic_shuffle": true, | |
| "drop_last": true | |
| }, | |
| // Dataloader | |
| "dataloader": { | |
| "num_worker": 32, | |
| "pin_memory": true | |
| }, | |
| "gradient_accumulation_step": 1, | |
| "total_training_steps": 50000, | |
| "save_summary_steps": 500, | |
| "save_checkpoints_steps": 10000, | |
| "valid_interval": 10000, | |
| "keep_checkpoint_max": 5, | |
| "multi_speaker_training": false, // True: train multi-speaker model; False: training single-speaker model; | |
| "max_epoch": -1, | |
| // -1 means no limit | |
| "save_checkpoint_stride": [ | |
| 5, | |
| 20 | |
| ], | |
| // unit is epoch | |
| "keep_last": [ | |
| 3, | |
| -1 | |
| ], | |
| // -1 means infinite, if one number will broadcast | |
| "run_eval": [ | |
| false, | |
| true | |
| ], | |
| // Batchsampler | |
| "sampler": { | |
| "holistic_shuffle": true, | |
| "drop_last": true | |
| }, | |
| // Dataloader | |
| "dataloader": { | |
| "num_worker": 32, | |
| "pin_memory": true | |
| }, | |
| // Trackers | |
| "tracker": [ | |
| "tensorboard" | |
| // "wandb", | |
| // "cometml", | |
| // "mlflow", | |
| ], | |
| }, | |
| } | |