論文

査読有り
2012年

Music Part Segmentation in Music TV Programs based on Chroma Vector Analysis

2012 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM)
  • Aiko Uemura
  • ,
  • Jiro Katto
  • ,
  • Kyota Higa
  • ,
  • Masumi Ishikawa
  • ,
  • Toshiyuki Nomura

開始ページ
32
終了ページ
35
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ISM.2012.14
出版者・発行元
IEEE

This paper presents a music part detection method incorporating chroma vector analysis for use with music TV programs. Results show that envelopes of chroma components of music signals tend to have horizontal (i.e. temporal) correlation in time-frequency representation because music signals have a periodic chord sequences. Based on this fact, we analyze time series of chroma components and attempt to segment music parts in music TV programs from other parts. Experimental results show an F-measure of 0.78, which is better than that obtained using the previous method.

リンク情報
DOI
https://doi.org/10.1109/ISM.2012.14
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000317430600006&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/ISM.2012.14
  • Web of Science ID : WOS:000317430600006

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