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  • 标题:Saron Music Transcription Based on Rhythmic Information using HMM on Gamelan Orchestra
  • 本地全文:下载
  • 作者:Yoyon K Suprapto ; Yosefine Triwidyastuti
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2015
  • 卷号:13
  • 期号:1
  • 页码:103-117
  • DOI:10.12928/telkomnika.v13i1.295
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 摘要: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.
  • 其他摘要: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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