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import numpy as np | |
import librosa | |
def wav2mfcc(file_path, max_pad_len=11): | |
wave, sr = librosa.load(file_path, mono=True, sr=None) | |
wave = wave[::3] | |
mfcc = librosa.feature.mfcc(wave, sr=16000) | |
pad_width = max_pad_len - mfcc.shape[1] | |
mfcc = np.pad(mfcc, pad_width=((0, 0), (0, pad_width)), mode='constant') | |
return mfcc |
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When I run this I get error 👎
`
ValueError Traceback (most recent call last)
in ()
----> 1 wav2mfcc('./data/hold/hm1_004.mp3')
in wav2mfcc(file_path, max_pad_len)
8 mfcc = librosa.feature.mfcc(wave, sr=16000)
9 pad_width = max_pad_len - mfcc.shape[1]
---> 10 mfcc = np.pad(mfcc, pad_width=((0, 0), (0, pad_width)), mode='constant')
11 # print mfcc
12 return mfcc
/usr/local/lib/python2.7/dist-packages/numpy/lib/arraypad.pyc in pad(array, pad_width, mode, **kwargs)
1293
1294 narray = np.array(array)
-> 1295 pad_width = _validate_lengths(narray, pad_width)
1296
1297 allowedkwargs = {
/usr/local/lib/python2.7/dist-packages/numpy/lib/arraypad.pyc in _validate_lengths(narray, number_elements)
1084 if (chk[0] < 0) or (chk[1] < 0):
1085 fmt = "%s cannot contain negative values."
-> 1086 raise ValueError(fmt % (number_elements,))
1087 return normshp
1088
ValueError: ((0, 0), (0, -17)) cannot contain negative values.`