Saron Music Transcription Based on Rhythmic Information Using HMM on Gamelan Orchestra

Suprapto, Yoyon K. and Triwidyastuti, Yosefine (2015) Saron Music Transcription Based on Rhythmic Information Using HMM on Gamelan Orchestra. TELKOMNIKA (Telecommunication, Computing, Electronics and Controls), 13 (1). pp. 103-117. ISSN 1693-6930

[img]
Preview
Text
BidC1c1_telkomnika paper.pdf - Published Version

Download (2MB) | Preview
[img]
Preview
Text
BidC1c1_telkomnika_reviewer.pdf - Published Version

Download (852kB) | Preview
[img]
Preview
Text
BidC1c1_telkomnika_turn it in.pdf - Published Version

Download (2MB) | Preview

Search this title on : |

Abstract

Nowadays, eastern music exploration is needed to raise his popularity that has been abandoned by the people, especially the younger generation. Onset detection in Gamelan music signals are needed to help beginners follow the beats and the notation. We propose a Hidden Markov Model (HMM) method for detecting the onset of each event in the saron sound. F-measure of average the onset detection was analyzed to generate notations. The experiment demonstrates 97.83% F-measure of music transcription.


Export Record


Item Type: Article
Additional Information: Yoyon K. Suprapto, Yosefine Triwidyastuti
Uncontrolled Keywords: gamelan music, music tempo, onset detection, hidden markov model, music transcription
Dewey Decimal Classification: 700 – Arts & recreation > 780 Music > 784 Instruments & instrumental ensembles
Divisions: Perpustakaan > Journals
Depositing User: Annuh Liwan Nahar
Date Deposited: 14 Apr 2020 08:28
Last Modified: 14 Apr 2020 08:29
URI: http://repository.dinamika.ac.id/id/eprint/4383

Download Statistics

Downloads over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Actions (login required)

View Item   View Item