Indonesian Journal of Electronics and Instrumentation Systems
Vol 12, No 2 (2022): Oktober

Music Genre Identification Using SVM and MFCC Feature Extraction

Septian Yogi Yehezkiel (Universitas Gadjah Mada)
Yohanes Suyanto (Universitas Gadjah Mada)

Article Info

Publish Date
31 Oct 2022

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.

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Journal Info
Indonesian Journal of Electronics and Instrumentation Systems
Website

Abbrev

ijeis

Publisher

Universitas Gadjah Mada

Subject

Electrical & Electronics Engineering

Description

IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), a two times annually provides a forum for the full range of scholarly study. IJEIS scope encompasses all aspects of Electronics, Instrumentation and Control. IJEIS is covering all aspects of Electronics and Instrumentation ...