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librosa.dtw : question on allowable input data dimensions

See original GitHub issue

I’m getting a column dimension error when they are both (1) (12, 1) (3, 1) Is this shape input allowed?

-> dtwval, path = librosa.dtw(siga, sigb, subseq=True)
(Pdb) siga
array([[  4.],
       [ 30.],
       [ 52.],
       [ 32.],
       [ 54.],
       [ 22.],
       [ 28.],
       [ 22.],
       [ 12.],
       [ 30.],
       [ 16.],
       [ 18.]])
(Pdb) sigb
array([[ 46.],
       [  6.],
       [ 14.]])
ValueError: XA and XB must have the same number of columns (i.e. feature dimension.)

Issue Analytics

State:
Created 6 years ago
Comments:16 (8 by maintainers)

Top GitHub Comments

1reaction

stefan-balkecommented, Aug 15, 2017

dtw() returns the accumulated cost matrix D and the warping path.

The alignment cost is stored in the entry D[-1, -1].

1reaction

stefan-balkecommented, Aug 15, 2017

Yeah, sure, it’s already in there: https://github.com/librosa/librosa/blob/master/librosa/core/dtw.py#L189

But we then plug it into scipy.cdist as the transposed version thus messing up dimensions for the 1d case. If we catch the ValueError and exchange “columns” against “rows” should help the users.

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