In this video, I have explained on how to extract features from audio file to train the model. MFCC is a feature extraction technique widely used in speech and audio processing. MFCCs are used to represent the spectral characteristics of sound in a way that is well-suited for various machine learning tasks, such as speech recognition and music analysis.

Text-based Tutorial: https://www.hackersrealm.net/post/extract-features-from-audio-mfcc-python 
GitHub Code Repo: https://bit.ly/datascienceconcepts 

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Extract Features from Audio File using Python
1.15 GEEK