I'm just a beginner here in signal processing. Here is my code so far on extracting MFCC feature from an 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 plot the mfcc features to know what it looks like.
This will plot the MFCC as colors, which is a 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()