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

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

Journal from gdlhub / 2016-11-09 10:21:17
By : Yoyon K Suprapto, Yosefine Triwidyastuti, Telkomnika
Created : 2015-03-01, with 1 files

Keyword : gamelan music, music tempo, onset detection, hidden markov model, music transcription
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/295

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

Description Alternative :

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

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Publisher IDgdlhub
OrganizationTelkomnika
Contact NameHerti Yani, S.Kom
AddressJln. Jenderal Sudirman
CityJambi
RegionJambi
CountryIndonesia
Phone0741-35095
Fax0741-35093
Administrator E-mailelibrarystikom@gmail.com
CKO E-mailelibrarystikom@gmail.com

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