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Running
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T4
File size: 4,780 Bytes
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{
"base_config": "config/vitssvc.json",
"model_type": "VitsSVC",
"dataset": [
"m4singer",
"opencpop",
"opensinger",
"svcc",
"vctk"
],
"dataset_path": {
// TODO: Fill in your dataset path
"m4singer": "[M4Singer dataset path]",
"opencpop": "[Opencpop dataset path]",
"opensinger": "[OpenSinger dataset path]",
"svcc": "[SVCC dataset path]",
"vctk": "[VCTK dataset path]"
},
// TODO: Fill in the output log path. The default value is "Amphion/ckpts/svc"
"log_dir": "ckpts/svc",
"preprocess": {
// TODO: Fill in the output data path. The default value is "Amphion/data"
"processed_dir": "data",
"f0_min": 50,
"f0_max": 1100,
// f0_bin in sovits
"pitch_bin": 256,
// filter_length in sovits
"n_fft": 2048,
// hop_length in sovits
"hop_size": 512,
// win_length in sovits
"win_size": 2048,
"segment_size": 8192,
"n_mel": 100,
"sample_rate": 44100,
// Config for features extraction
"extract_mel": true,
"extract_pitch": true,
"pitch_extractor": "parselmouth",
"extract_energy": false,
"extract_uv": true,
"extract_linear_spec": true,
"extract_audio": true,
// contentvec
"extract_contentvec_feature": true,
"contentvec_sample_rate": 16000,
"contentvec_batch_size": 1,
"contentvec_frameshift": 0.02,
// whisper
"extract_whisper_feature": true,
"whisper_sample_rate": 16000,
"whisper_frameshift": 0.01,
"whisper_downsample_rate": 2,
// Fill in the content-based pretrained model's path
"contentvec_file": "pretrained/contentvec/checkpoint_best_legacy_500.pt",
"wenet_model_path": "pretrained/wenet/20220506_u2pp_conformer_exp/final.pt",
"wenet_config": "pretrained/wenet/20220506_u2pp_conformer_exp/train.yaml",
"whisper_model": "medium",
"whisper_model_path": "pretrained/whisper/medium.pt",
// Config for features usage
"use_mel": true,
"use_frame_pitch": true,
"use_uv": true,
"use_spkid": true,
"use_contentvec": true,
"use_whisper": true,
"use_text": false,
"use_phone": false,
// Extract content features using dataloader
"pin_memory": true,
"num_workers": 8,
"content_feature_batch_size": 16,
// Meta file
"train_file": "train.json",
"valid_file": "test.json",
"spk2id": "singers.json",
"utt2spk": "utt2singer"
},
"model": {
"condition_encoder": {
// Config for features usage
"merge_mode": "add",
"input_melody_dim": 1,
"use_log_f0": true,
"n_bins_melody": 256,
//# Quantization (0 for not quantization)
"output_melody_dim": 192,
"use_contentvec": true,
"use_whisper": true,
"use_mert": false,
"use_wenet": false,
"whisper_dim": 1024,
"contentvec_dim": 256,
"content_encoder_dim": 192,
"output_singer_dim": 192,
"singer_table_size": 512,
"output_content_dim": 192,
"use_spkid": true,
"pitch_max": 1100.0,
"pitch_min": 50.0,
},
"vits": {
"inter_channels": 192,
"hidden_channels": 192,
"filter_channels": 256,
"n_heads": 2,
"n_layers": 6,
"kernel_size": 3,
"p_dropout": 0.1,
"ssl_dim": 256,
"n_flow_layer": 4,
"n_layers_q": 3,
"gin_channels": 256,
"n_speakers": 512,
"use_spectral_norm": false,
},
"generator": "nsfhifigan",
},
"train": {
"batch_size": 32,
"learning_rate": 2e-4,
"gradient_accumulation_step": 1,
"max_epoch": -1, // -1 means no limit
"save_checkpoint_stride": [
3,
50
],
"keep_last": [
3,
2
],
"run_eval": [
true,
true
],
"adamw": {
"lr": 2.0e-4
},
"reducelronplateau": {
"factor": 0.8,
"patience": 30,
"min_lr": 1.0e-4
},
"dataloader": {
"num_worker": 8,
"pin_memory": true
},
"sampler": {
"holistic_shuffle": false,
"drop_last": true
}
},
"inference": {
"batch_size": 1,
}
} |