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AudioTensor

  • Wrap your tensor as AudioTensor(tensor, hop_length) and use it as a regular tensor.
  • For ndim > 1, the shape is (B, T, ...), where B is the batch size and T is the number of frames.
  • For ndim == 1, the shape is (B,) and hop_length = -1.
  • Tensors with different hop_length will be automatically linearly resampled to the maximum common divisor of hop_lengths when performing operations.
  • set_hop_length(hop_length) will resample the tensor to the new hop_length.
  • reduce_hop_length() will upsample the tensor to hop_length = 1.
  • steps will return the size of T in the tensor.
  • truncate(steps) will truncate the tensor to the given steps.
  • unfold(size, step) return a view of the tensor with a sliding window of size size and step step along the T dimension.