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Running
on
Zero
| { | |
| "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]" | |
| }, | |
| "use_custom_dataset": [], | |
| // 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", | |
| "n_mel": 100, | |
| "sample_rate": 24000, | |
| // 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, | |
| // wenet | |
| "extract_wenet_feature": true, | |
| "wenet_downsample_rate": 4, | |
| "wenet_frameshift": 0.01, | |
| "wenet_sample_rate": 16000, | |
| // 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", | |
| "use_contentvec": true, | |
| "use_whisper": true, | |
| "use_wenet": false, | |
| // Extract content features using dataloader | |
| "pin_memory": true, | |
| "num_workers": 8, | |
| "content_feature_batch_size": 16, | |
| }, | |
| "model": { | |
| "condition_encoder": { | |
| // Config for features usage | |
| "merge_mode": "add", | |
| "use_log_loudness": true, | |
| "use_contentvec": true, | |
| "use_whisper": true, | |
| "use_wenet": false, | |
| "whisper_dim": 1024, | |
| "contentvec_dim": 256, | |
| "wenet_dim": 512, | |
| }, | |
| "vits": { | |
| "inter_channels": 384, | |
| "hidden_channels": 384, | |
| "filter_channels": 256, | |
| "n_heads": 2, | |
| "n_layers": 6, | |
| "kernel_size": 3, | |
| "p_dropout": 0.1, | |
| "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 | |
| ], | |
| }, | |
| "inference": { | |
| "batch_size": 1, | |
| } | |
| } |