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Add Sakoe-Chiba band constraint #9

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@TomDLT TomDLT commented Mar 23, 2018

This PR adds a Sakoe-Chiba band constraint [1], which constrains the path to stay in a band around the diagonal. For now it works only on squared DTW problems.


[1] Sakoe, H., & Chiba, S. (1978). Dynamic programming algorithm optimization for spoken word recognition. IEEE transactions on acoustics, speech, and signal processing, 26(1), 43-49.

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This looks very good. Do you use it for speed up or regularization?

I think you could also test the forward pass as follows: use gen_all_paths to generate all paths, filter out those outside of the band and compute the softmin among those. See

https://github.com/mblondel/soft-dtw/blob/master/sdtw/tests/test_soft_dtw.py#L32

for an example.

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TomDLT commented Mar 26, 2018

This looks very good. Do you use it for speed up or regularization?

Both, but I use it mostly for speed, since it goes from O(N * N) to O(N * B) where B is the band width.

I think you could also test the forward pass as follows: use gen_all_paths to generate all paths, filter out those outside of the band and compute the softmin among those.

Good point, will do.

sdtw/soft_dtw.py Outdated
self.sakoe_chiba_band = sakoe_chiba_band

if sakoe_chiba_band >= 0:
assert self.D.shape[0] == self.D.shape[1]
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One last question before merge... Why do you need this restriction?

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For simplicity.
I updated the code and removed the restriction.

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2 participants