{
  "architectures": [
    "ZipVoice"
  ],
  "model_type": "zipvoice",
  "library_name": "pytorch",
  "pipeline_tag": "text-to-speech",
  "checkpoint": "checkpoint-1860000.pt",
  "dataset_hours": 7000,
  "tokenizer": {
    "type": "SimpleTokenizer",
    "level": "character",
    "vocab_size": 244,
    "token_file": "tokens.txt"
  },
  "text_normalizer": {
    "package": "soe-vinorm",
    "enabled_by_default": true,
    "postprocess": "remove extra spaces around punctuation"
  },
  "reference_audio": {
    "directory": "audio",
    "count": 30,
    "text_format": "sidecar_txt_same_basename"
  },
  "demo": {
    "directory": "demo",
    "sample_count": 3
  },
  "model": {
    "fm_decoder_downsampling_factor": [
      1,
      2,
      4,
      2,
      1
    ],
    "fm_decoder_num_layers": [
      2,
      2,
      4,
      4,
      4
    ],
    "fm_decoder_cnn_module_kernel": [
      31,
      15,
      7,
      15,
      31
    ],
    "fm_decoder_feedforward_dim": 1536,
    "fm_decoder_num_heads": 4,
    "fm_decoder_dim": 512,
    "text_encoder_num_layers": 4,
    "text_encoder_feedforward_dim": 512,
    "text_encoder_cnn_module_kernel": 9,
    "text_encoder_num_heads": 4,
    "text_encoder_dim": 192,
    "query_head_dim": 32,
    "value_head_dim": 12,
    "pos_head_dim": 4,
    "pos_dim": 48,
    "time_embed_dim": 192,
    "text_embed_dim": 192,
    "feat_dim": 100
  },
  "feature": {
    "sampling_rate": 24000,
    "type": "vocos"
  }
}