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{ | |
"base_config": "config/base.json", | |
"task_type": "svc", | |
"preprocess": { | |
// data augmentations | |
"use_pitch_shift": false, | |
"use_formant_shift": false, | |
"use_time_stretch": false, | |
"use_equalizer": false, | |
// Online or offline features extraction ("offline" or "online") | |
"features_extraction_mode": "offline", | |
// acoustic features | |
"extract_mel": true, | |
"mel_min_max_norm": true, | |
"extract_pitch": true, | |
"pitch_extractor": "parselmouth", | |
"extract_uv": true, | |
"extract_energy": true, | |
// content features | |
"extract_whisper_feature": false, | |
"whisper_sample_rate": 16000, | |
"extract_contentvec_feature": false, | |
"contentvec_sample_rate": 16000, | |
"extract_wenet_feature": false, | |
"wenet_sample_rate": 16000, | |
"extract_mert_feature": false, | |
"mert_sample_rate": 16000, | |
// Default config for whisper | |
"whisper_frameshift": 0.01, | |
"whisper_downsample_rate": 2, | |
// Default config for content vector | |
"contentvec_frameshift": 0.02, | |
// Default config for mert | |
"mert_model": "m-a-p/MERT-v1-330M", | |
"mert_feature_layer": -1, | |
"mert_hop_size": 320, | |
// 24k | |
"mert_frameshit": 0.01333, | |
// 10ms | |
"wenet_frameshift": 0.01, | |
// wenetspeech is 4, gigaspeech is 6 | |
"wenet_downsample_rate": 4, | |
// Default config | |
"n_mel": 100, | |
"win_size": 1024, | |
// todo | |
"hop_size": 256, | |
"sample_rate": 24000, | |
"n_fft": 1024, | |
// todo | |
"fmin": 0, | |
"fmax": 12000, | |
// todo | |
"f0_min": 50, | |
// ~C2 | |
"f0_max": 1100, | |
//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", | |
"contentvec_dir": "contentvec", | |
"wenet_dir": "wenet", | |
"mert_dir": "mert", | |
// Extract content features using dataloader | |
"pin_memory": true, | |
"num_workers": 8, | |
"content_feature_batch_size": 16, | |
// Features used for model training | |
"use_mel": true, | |
"use_min_max_norm_mel": true, | |
"use_frame_pitch": true, | |
"use_uv": true, | |
"use_interpolation_for_uv": false, | |
"use_frame_energy": true, | |
"use_log_scale_pitch": false, | |
"use_log_scale_energy": false, | |
"use_spkid": true, | |
// Meta file | |
"train_file": "train.json", | |
"valid_file": "test.json", | |
"spk2id": "singers.json", | |
"utt2spk": "utt2singer" | |
}, | |
"model": { | |
"condition_encoder": { | |
"merge_mode": "add", | |
// Prosody Features | |
"use_f0": true, | |
"use_uv": true, | |
"use_energy": true, | |
// Quantization (0 for not quantization) | |
"input_melody_dim": 1, | |
"n_bins_melody": 256, | |
"output_melody_dim": 384, | |
"input_loudness_dim": 1, | |
"n_bins_loudness": 256, | |
"output_loudness_dim": 384, | |
// Semantic Features | |
"use_whisper": false, | |
"use_contentvec": false, | |
"use_wenet": false, | |
"use_mert": false, | |
"whisper_dim": 1024, | |
"contentvec_dim": 256, | |
"mert_dim": 256, | |
"wenet_dim": 512, | |
"content_encoder_dim": 384, | |
// Speaker Features | |
"output_singer_dim": 384, | |
"singer_table_size": 512, | |
"use_spkid": true | |
} | |
}, | |
} |