How to plot MFCC in Python?

Question

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 m         


        

Answer 1

from python_speech_features import mfcc
import scipy.io.wavfile as wav
import matplotlib.pyplot as plt

(rate,sig) = wav.read("AudioFile.wav")
mfcc_feat = mfcc(sig,rate)

print(mfcc_feat)
plt.plot(mfcc_feat)
plt.show()

Answer 2

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()

Answer 3

The previous answer did no defined mfcc_data.

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()

MFCC_data MFCC_feat

Answer 4

Initially I read the wav file using librosa and fed with inbuilt function

import librosa
audio_path='../.../../../combo.wav' #location
(xf, sr) = librosa.load(audio_path)    
mfccs = librosa.feature.mfcc(y=xf, sr=sr, n_mfcc=4)
librosa.display.specshow(mfccs, x_axis='time')
plt.colorbar()
plt.tight_layout()
plt.title('mfcc')
plt.show

I used librosa