you can observe the plot as shown in the figure given herefeature extraction from speech this is the most important step in building speech recognizer because after converting the speech signal into the frequency domainwe must convert it into the usable form of feature vector we can use different feature extraction techniques like mfccplpplprasta etc for this purpose example in the following examplewe are going to extract the features from signalstep-by-stepusing pythonby using mfcc technique import the necessary packagesas shown hereimport numpy as np import matplotlib pyplot as plt from scipy io import wavfile from python_speech_features import mfcclogfbank