A heuristic approach for music segmentation

Chuan Wang Chang, Wen Jie Ke, Hewijin Christin Jiau

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

1 Citation (Scopus)

Abstract

Music segmentation is an important and essential step for successful development of music information retrieval system, particularly for polyphonic music database. In the past, most researchers assume music is monophonie. If the music is polyphonic, there is not satisfyingly solved by existing known algorithms. In this paper, we base on the LBDM and propose a heuristic method to extract the representative fragments of melody from different tracks. The extracted represented fragments are sentence-like phrases that can server as indexes of music. Experiments show the satisfying results in the proposed method.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
PublisherIEEE Computer Society
ISBN (Print)0769528821, 9780769528823
DOIs
Publication statusPublished - 2007 Jan 1
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
Duration: 2007 Sep 52007 Sep 7

Publication series

NameSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
CountryJapan
CityKumamoto
Period07-09-0507-09-07

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mechanical Engineering

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  • Cite this

    Chang, C. W., Ke, W. J., & Jiau, H. C. (2007). A heuristic approach for music segmentation. In Second International Conference on Innovative Computing, Information and Control, ICICIC 2007 [4427873] (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007). IEEE Computer Society. https://doi.org/10.1109/ICICIC.2007.30