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.

Name		Name	Last commit message	Last commit date
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.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
audiotensor.py		audiotensor.py

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