Analysis of Building the Music Feature Extraction Systems: A Review

Abstract

Music genre classification is a basic method for sound processing in the field of music retrieval. The application of machine learning has become increasingly popular in automatically classifying music genres. Therefore, in recent years, many methods have been studied and developed to solve this problem. In this article, an overview on the process and some music feature extraction methods is presented. Here, the feature extraction method using Mel Frequency Cepstral Coefficients (MFCC) is discussed in detail. Some typical results in using Mel Frequency Cepstral Coefficients for improving accuracy in the classification process are introduced and discussed. Therefore, the feature extraction method using MFCC has shown its suitability due to high accuracy and has much potential for further research and development.