How do I build an MFCC in Python?
I'm just a beginner here in signal processing. Here is my code so far about extracting MFCC function from audio file (.WAV):
from python_speech_features import mfcc
import scipy.io.wavfile as wav
(rate,sig) = wav.read("AudioFile.wav")
mfcc_feat = mfcc(sig,rate)
print(mfcc_feat)
I just wanted to build the mfcc functions to see what it looks like.
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3 answers
This will display MFCC as colors, which is the more popular way
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
fig, ax = plt.subplots()
mfcc_data= np.swapaxes(mfcc_data, 0 ,1)
cax = ax.imshow(mfcc_data, interpolation='nearest', cmap=cm.coolwarm, origin='lower')
ax.set_title('MFCC')
plt.show()
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No mfcc_data was defined in the previous answer.
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
(rate,sig) = wav.read("file.wav")
mfcc_feat = mfcc(sig,rate)
ig, ax = plt.subplots()
mfcc_data= np.swapaxes(mfcc_feat, 0 ,1)
cax = ax.imshow(mfcc_data, interpolation='nearest', cmap=cm.coolwarm, origin='lower', aspect='auto')
ax.set_title('MFCC')
#Showing mfcc_data
plt.show()
#Showing mfcc_feat
plt.plot(mfcc_feat)
plt.show()
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