espnet2.enh.layers.beamformer.signal_framing

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espnet2.enh.layers.beamformer.signal_framing(signal: Tensor | ComplexTensor, frame_length: int, frame_step: int, bdelay: int, do_padding: bool = False, pad_value: int = 0, indices: List | None = None) → Tensor | ComplexTensor

Expand signal into several frames, with each frame of length frame_length.

• Parameters:
  • signal – (…, T)
  • frame_length – length of each segment
  • frame_step – step for selecting frames
  • bdelay – delay for WPD
  • do_padding – whether or not to pad the input signal at the beginning of the time dimension
  • pad_value – value to fill in the padding
• Returns: if do_padding: (…, T, frame_length) else: (…, T - bdelay - frame_length + 2, frame_length)
• Return type: torch.Tensor