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cross-similarity function

See original GitHub issue

I’d love to have a version of librosa.segment.recurrence_matrix that compares two arbitrary sequences. A lot of the code in the recurrence_matrix function will extend to the two sequence case, happy to make a PR. Any suggestions on how such a function should work within the library?

Issue Analytics

State:
Created 5 years ago
Comments:8 (8 by maintainers)

Top GitHub Comments

1reaction

bmcfeecommented, Jun 25, 2019

Fixed by merging #904

1reaction

bmcfeecommented, Oct 22, 2018

I guess we want the knn classifier to be relative to (i.e. fit to) the features in the first sequence, and then the connections are built from the features in the second sequence? Should we make this more flexible?

The NearestNeighbors object is a data structure, not a classifier. If you have two arrays X1 and X2, of durations n and m respectively, the output of cross_similarity should have shape (n, m). The entries (i, j) should correspond to X1[:, i] being a nearest neighbor of X2[:, j]. So you should fit on X1 and predict on X2, if that makes sense?

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