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This project is for the comparison of two audio files based on their MFCC's.

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import librosa.display import matplotlib.pyplot as plt from scipy.spatial.distance import euclidean,mahalanobis from dtw import dtw dist, _, cost, path = dtw(mfcc1.T, mfcc2.T, dist=euclidean)

Could you update this: https://github.com/d4r3topk/comparing-audio-files-python/blob/master/mfcc.py It's addressed here: https://github.com/pierre-rouanet/dtw/pull/19/commits/307fe721a58cb47532451765d03c9f893731ea33 The original issue is here: https://github.com/pierre-rouanet/dtw/issues/18 This would be a huge help for folks who go through some of your snippets

https://github.com/d4r3topk/comparing-audio-files-python/blob/641dfb807cd317d79361ab79aa357a0de33d0e99/mfcc.py#L19 This is not really an issue,but a doubt rather. It's mentioned as a comment that the dist value for similar audios should be 0 or close to 0? If...

Because of the changes in version 0.6.0 of librosa, import librosa.display is required for librosa.display.specshow() to work.