vits/C/config.json

{
    "train": {
      "log_interval": 50,
      "eval_interval": 100,
      "seed": 1234,
      "epochs": 10000,
      "learning_rate": 2e-4,
      "betas": [0.8, 0.99],
      "eps": 1e-9,
      "batch_size": 128,
      "fp16_run": true,
      "lr_decay": 0.999875,
      "segment_size": 8192,
      "init_lr_ratio": 1,
      "warmup_epochs": 0,
      "c_mel": 45,
      "c_kl": 1.0
    },
    "data": {
      "training_files":"filelists/train.txt.cleaned",
      "validation_files":"filelists/val_last.txt.cleaned",
      "text_cleaners":["chinese_cleaners"],
      "max_wav_value": 32768.0,
      "sampling_rate": 16000,
      "filter_length": 1024,
      "hop_length": 256,
      "win_length": 1024,
      "n_mel_channels": 80,
      "mel_fmin": 0.0,
      "mel_fmax": null,
      "add_blank": true,
      "n_speakers": 187,
      "cleaned_text": true
    },
    "model": {
      "inter_channels": 192,
      "hidden_channels": 192,
      "filter_channels": 768,
      "n_heads": 2,
      "n_layers": 6,
      "kernel_size": 3,
      "p_dropout": 0.1,
      "resblock": "1",
      "resblock_kernel_sizes": [3,7,11],
      "resblock_dilation_sizes": [[1,3,5], [1,3,5], [1,3,5]],
      "upsample_rates": [8,8,2,2],
      "upsample_initial_channel": 512,
      "upsample_kernel_sizes": [16,16,4,4],
      "n_layers_q": 3,
      "use_spectral_norm": false,
      "gin_channels": 256
    },
    "speakers": ["\u0030", "\u0031", "\u0032", "\u0033", "\u0034", "\u0035", "\u0036", "\u0037", "\u0038", "\u0039", "\u0031\u0030", "\u0031\u0031", "\u0031\u0032", "\u0031\u0033", "\u0031\u0034", "\u0031\u0035", "\u0031\u0036", "\u0031\u0037", "\u0031\u0038", "\u0031\u0039", "\u0032\u0030", "\u0032\u0031", "\u0032\u0032", "\u0032\u0033", "\u0032\u0034", "\u0032\u0035", "\u0032\u0036", "\u0032\u0037", "\u0032\u0038", "\u0032\u0039", "\u0033\u0030", "\u0033\u0031", "\u0033\u0032", "\u0033\u0033", "\u0033\u0034", "\u0033\u0035", "\u0033\u0036", "\u0033\u0037", "\u0033\u0038", "\u0033\u0039", "\u0034\u0030", "\u0034\u0031", "\u0034\u0032", "\u0034\u0033", "\u0034\u0034", "\u0034\u0035", "\u0034\u0036", "\u0034\u0037", "\u0034\u0038", "\u0034\u0039", "\u0035\u0030", "\u0035\u0031", "\u0035\u0032", "\u0035\u0033", "\u0035\u0034", "\u0035\u0035", "\u0035\u0036", "\u0035\u0037", "\u0035\u0038", "\u0035\u0039", "\u0036\u0030", "\u0036\u0031", "\u0036\u0032", "\u0036\u0033", "\u0036\u0034", "\u0036\u0035", "\u0036\u0036", "\u0036\u0037", "\u0036\u0038", "\u0036\u0039", "\u0037\u0030", "\u0037\u0031", "\u0037\u0032", "\u0037\u0033", "\u0037\u0034", "\u0037\u0035", "\u0037\u0036", "\u0037\u0037", "\u0037\u0038", "\u0037\u0039", "\u0038\u0030", "\u0038\u0031", "\u0038\u0032", "\u0038\u0033", "\u0038\u0034", "\u0038\u0035", "\u0038\u0036", "\u0038\u0037", "\u0038\u0038", "\u0038\u0039", "\u0039\u0030", "\u0039\u0031", "\u0039\u0032", "\u0039\u0033", "\u0039\u0034", "\u0039\u0035", "\u0039\u0036", "\u0039\u0037", "\u0039\u0038", "\u0039\u0039","\u0031\u0030\u0030", "\u0031\u0030\u0031", "\u0031\u0030\u0032", "\u0031\u0030\u0033", "\u0031\u0030\u0034", "\u0031\u0030\u0035", "\u0031\u0030\u0036", "\u0031\u0030\u0037", "\u0031\u0030\u0038", "\u0031\u0030\u0039", "\u0031\u0031\u0030", "\u0031\u0031\u0031", "\u0031\u0031\u0032", "\u0031\u0031\u0033", "\u0031\u0031\u0034", "\u0031\u0031\u0035", "\u0031\u0031\u0036", "\u0031\u0031\u0037", "\u0031\u0031\u0038", "\u0031\u0031\u0039", "\u0031\u0032\u0030", "\u0031\u0032\u0031", "\u0031\u0032\u0032", "\u0031\u0032\u0033", "\u0031\u0032\u0034", "\u0031\u0032\u0035", "\u0031\u0032\u0036", "\u0031\u0032\u0037", "\u0031\u0032\u0038", "\u0031\u0032\u0039", "\u0031\u0033\u0030", "\u0031\u0033\u0031", "\u0031\u0033\u0032", "\u0031\u0033\u0033", "\u0031\u0033\u0034", "\u0031\u0033\u0035", "\u0031\u0033\u0036", "\u0031\u0033\u0037", "\u0031\u0033\u0038", "\u0031\u0033\u0039", "\u0031\u0034\u0030", "\u0031\u0034\u0031", "\u0031\u0034\u0032", "\u0031\u0034\u0033", "\u0031\u0034\u0034", "\u0031\u0034\u0035", "\u0031\u0034\u0036", "\u0031\u0034\u0037", "\u0031\u0034\u0038", "\u0031\u0034\u0039", "\u0031\u0035\u0030", "\u0031\u0035\u0031", "\u0031\u0035\u0032", "\u0031\u0035\u0033", "\u0031\u0035\u0034", "\u0031\u0035\u0035", "\u0031\u0035\u0036", "\u0031\u0035\u0037", "\u0031\u0035\u0038", "\u0031\u0035\u0039", "\u0031\u0036\u0030", "\u0031\u0036\u0031", "\u0031\u0036\u0032", "\u0031\u0036\u0033", "\u0031\u0036\u0034", "\u0031\u0036\u0035", "\u0031\u0036\u0036", "\u0031\u0036\u0037", "\u0031\u0036\u0038", "\u0031\u0036\u0039", "\u0031\u0037\u0030", "\u0031\u0037\u0031", "\u0031\u0037\u0032", "\u0031\u0037\u0033", "\u0031\u0037\u0034", "\u0031\u0037\u0035", "\u0031\u0037\u0036", "\u0031\u0037\u0037", "\u0031\u0037\u0038", "\u0031\u0037\u0039", "\u0031\u0038\u0030", "\u0031\u0038\u0031", "\u0031\u0038\u0032", "\u0031\u0038\u0033", "\u0031\u0038\u0034", "\u0031\u0038\u0035", "\u0031\u0038\u0036"],
    "symbols": ["_", "\uff0c", "\u3002", "\uff01", "\uff1f", "\u2014", "\u2026", "\u3105", "\u3106", "\u3107", "\u3108", "\u3109", "\u310a", "\u310b", "\u310c", "\u310d", "\u310e", "\u310f", "\u3110", "\u3111", "\u3112", "\u3113", "\u3114", "\u3115", "\u3116", "\u3117", "\u3118", "\u3119", "\u311a", "\u311b", "\u311c", "\u311d", "\u311e", "\u311f", "\u3120", "\u3121", "\u3122", "\u3123", "\u3124", "\u3125", "\u3126", "\u3127", "\u3128", "\u3129", "\u02c9", "\u02ca", "\u02c7", "\u02cb", "\u02d9", " "]
  }