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vinay-hebb/mfcc.py

Forked from manashmandal/mfcc.py
Created October 18, 2018 15:14
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mfcc.py
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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