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This document reviews the Mel Frequency Cepstral Coefficient (MFCC), a feature extraction technique widely used in audio signal processing, particularly in speech and emotion recognition. It discusses various applications of MFCC, challenges in its computation, and its integration with machine learning methods. The paper aims to provide a comprehensive understanding of MFCC

Author

Lingga

Language

EN