Music part segmentation in music TV programs based on chroma vector analysis

Aiko Uemura, Jiro Katto, Kyota Higa, Masumi Ishikawa, Toshiyuki Nomura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012
Pages32-35
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event14th IEEE International Symposium on Multimedia, ISM 2012 - Irvine, CA, United States
Duration: 2012 Dec 102012 Dec 12

Publication series

NameProceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012

Conference

Conference14th IEEE International Symposium on Multimedia, ISM 2012
CountryUnited States
CityIrvine, CA
Period12/12/1012/12/12

Keywords

  • Chroma vector
  • Music part segmentation
  • Temporal correlation

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Uemura, A., Katto, J., Higa, K., Ishikawa, M., & Nomura, T. (2012). Music part segmentation in music TV programs based on chroma vector analysis. In Proceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012 (pp. 32-35). [6424627] (Proceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012). https://doi.org/10.1109/ISM.2012.14