def plot_mfcc_feature(vis_mfcc_feature):
# plot the MFCC feature
fig = plt.figure(figsize=(12,5))
ax = fig.add_subplot(111)
im = ax.imshow(vis_mfcc_feature, cmap=plt.cm.jet, aspect='auto')
plt.title('Normalized MFCC')
plt.ylabel('Time')
plt.xlabel('MFCC Coefficient')
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
plt.colorbar(im, cax=cax)
ax.set_xticks(np.arange(0, 13, 2), minor=False);
plt.show()
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