Saron Music Transcription Based on Rhythmic Information Using HMM on Gamelan Orchestra
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 tohelp 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.
Author: Yoyon K. Suprapto,
Yosefine Triwidyastuti
Journal Code: jptkomputergg150021
