Ekstraksi Fitur MFCC pada Lagu Gundhul Pacul

  • Roger Julian Sitorus Universitas Udayana
  • I Gede Santi Astawa Universitas Udayana
DOI: https://doi.org/10.24843/JNATIA.2023.v01.i04.p07

Abstract

MFCC is an effective method in audio feature extraction, including in song and music analysis. This method involves converting the frequency spectrum of the audio signal into the Mel scale, which is more in line with human auditory perception, and then calculating the cepstral coefficient. The results of the MFCC feature extraction on the song "Gundhul Pacul" show the pattern of the song's spectral and rhythmic characteristics. By using the MFCC representation, it is possible to see changes in energy and frequency patterns in audio signals at various time intervals. The results of the MFCC show that there are 13 resulting cepstral coefficients. However, the number of cepstral coefficients can be adjusted depending on the application and specific needs.


Keywords: Features Extraction, MFCC, Gundhul Pacul

Published
2023-08-01
How to Cite
SITORUS, Roger Julian; ASTAWA, I Gede Santi. Ekstraksi Fitur MFCC pada Lagu Gundhul Pacul. Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 4, p. 1063-1070, aug. 2023. ISSN 3032-1948. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/102507>. Date accessed: 05 feb. 2025. doi: https://doi.org/10.24843/JNATIA.2023.v01.i04.p07.
Citation Formats
Issue
Vol 1 No 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023
Section
Articles

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