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Hi,
you can take a look at the code and the training recipes available in
speechbrain here:
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https://github.com/speechbrain/speechbrain/blob/develop/recipes/WSJ0Mix/separation/hparams/sepformer.yaml
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https://github.com/speechbrain/speechbrain/blob/develop/speechbrain/lobes/models/dual_path.py
…On Tue, Oct 31, 2023 at 8:00 AM hananbo26 ***@***.***> wrote:
The SepFormer, introduced in the paper ATTENTION IS ALL YOU NEED IN
SPEECH SEPARATION <https://arxiv.org/pdf/2010.13154.pdf>, is a popular
speech separation network implemented in speechbrain.
However, having gone through the paper, I still need help understanding
how it works. How does it deal with inputs of arbitrary lengths? Is there a
maximal input length? And what happens if this maximal length is exceeded?
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The SepFormer, introduced in the paper ATTENTION IS ALL YOU NEED IN SPEECH SEPARATION, is a popular speech separation network implemented in speechbrain.
However, having gone through the paper, I still need help understanding how it works. How does it deal with inputs of arbitrary lengths? Is there a maximal input length? And what happens if this maximal length is exceeded?
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