Identifying traditional music instruments on polyphonic Indonesian folksong using Mel-Frequency Cepstral Coefficients (MFCC)

Chairunissa Atimas Nurahmad, Mirna Adriani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this study, we report our research on identifying the music instruments on polyphonic Indonesian traditional folksongs. We use Mel-Frequency Cepstral Coefficients (MFCC) as a feature extracted from the songs. The music instrument identification is done by applying Support Vector Machine (SVM) algorithm as a classification method on various numbers of instruments and duration of the Indonesian folksongs. The experiment results show that music instrument identification performs better using the classification method. The folksongs that are played using 2 instruments are highly recognized than folksongs that are played using 3 and 4 music instruments. The music instrument identification results are also influenced by the music duration. The music instruments are easily identified in songs that have 2 second duration rather than 4-second and 6-second duration.

Original languageEnglish
Title of host publication10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012 - Proceedings
Pages21-24
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2012
Event10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012 - Bali, Indonesia
Duration: 3 Dec 20125 Dec 2012

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012
Country/TerritoryIndonesia
CityBali
Period3/12/125/12/12

Keywords

  • music feature extraction
  • music instrument identification
  • traditional music instrument classification

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