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- import librosa
- import numpy as nmp
- y,sr=librosa.load("/content/hard.wav")
- mfccs=librosa.feature.mfcc(y,sr=sr)
- lst=list()
- for i in mfccs:
- lst.append(nmp.mean(i))
- print(lst)
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