espnet2.layers.augmentation.clipping

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espnet2.layers.augmentation.clipping(waveform, sample_rate: int, min_quantile: float = 0.0, max_quantile: float = 0.9)

Apply the clipping distortion to the input signal.

• Parameters:
  • waveform (torch.Tensor) – audio signal (…, time)
  • sample_rate (int) – sampling rate in Hz (not used)
  • min_quantile (float) – lower bound on the total percent of samples to be clipped
  • max_quantile (float) – upper bound on the total percent of samples to be clipped
• Returns: clipped signal (…, time)
• Return type: ret (torch.Tensor)