preprocessor_config.json

{
  "feature_type": "log_mel_spectrogram",
  "sampling_rate": 16000,
  "mono": true,
  "n_mels": 80,
  "n_fft": 400,
  "win_length": 400,
  "hop_length": 160,
  "center": false,
  "f_min": 20.0,
  "f_max": 7600.0,
  "normalization": {
    "type": "per_utterance_per_frequency",
    "epsilon": 1e-05,
    "formula": "(mel - mean) / (std + 1e-5)",
    "std_correction": 1
  },
  "important_note": "For chunked inference, compute the complete utterance log-Mel spectrogram and normalize it before slicing it into inference chunks.",
  "power": 2.0,
  "window_fn": "hann",
  "normalized_stft": false,
  "mel_filterbank": {
    "norm": null,
    "mel_scale": "htk"
  },
  "log_transform": {
    "type": "natural_log",
    "clamp_min": 1e-05
  }
}