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All Journal Indonesian Journal of Electronics and Instrumentation Systems
Septian Yogi Yehezkiel
Universitas Gadjah Mada
Electrical & Electronics Engineering

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Music Genre Identification Using SVM and MFCC Feature Extraction Septian Yogi Yehezkiel; Yohanes Suyanto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 12, No 2 (2022): Oktober
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.70898

Abstract

 Indonesia  is a very diverse country because it has a vast territory and is occupied by millions of people from various tribe. Therefore, traditional music in Indonesia is also diverse because each region has its own culture and art.  In this study, the author used the Support Vector Machine(SVM) pattern recognition  to identify the Indonesian traditional music genre. This genre identification system is able to produce an accuracy of 83% using MFCC.Keywords : traditional music identification, Mel Frequency Cepstral Coefficient, Support Vector Machine.
Co-Authors Yohanes Suyanto