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How to plot MFCC in Python using Matplotlib?
To plot MFCC in Python, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Open and read a WAV file.
- Compute MFCC features from an audio signal.
- Create a figure and a set of subplots.
- Interchange two axes of an array
- Display the data as an image, i.e., on a 2D regular raster.
- To display the figure, use show() method.
Example
from python_speech_features import mfcc
import scipy.io.wavfile as wav
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
(rate, sig) = wav.read("my_audio.wav")
mfcc_data = mfcc(sig, rate)
fig, ax = plt.subplots()
mfcc_data = np.swapaxes(mfcc_data, 0, 1)
cax = ax.imshow(mfcc_data, interpolation='nearest', cmap='copper', origin='lower')
plt.show()Output
Updated on: 17-Jun-2021
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