YunzeNeural/config.json

{
  "train": {
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    "eval_interval": 100,
    "seed": 1234,
    "epochs": 10000,
    "learning_rate": 0.0002,
    "betas": [
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    "eps": 1e-09,
    "batch_size": 16,
    "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": "final_annotation_train.txt",
    "validation_files": "final_annotation_val.txt",
    "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": 1,
    "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": [
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    ],
    "resblock_dilation_sizes": [
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      ],
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    ],
    "upsample_rates": [
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      8,
      2,
      2
    ],
    "upsample_initial_channel": 512,
    "upsample_kernel_sizes": [
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      16,
      4,
      4
    ],
    "n_layers_q": 3,
    "use_spectral_norm": false,
    "gin_channels": 256
  },
  "speakers": {
    "YunzeNeural": 0
  },
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}