Live version identification with audio scene detection

Kazumasa Ishikura, Aiko Uemura, Jiro Katto

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

Abstract

This paper presents a live version music identification system by modifying the conventional cover song identification system. The proposed system includes two stages: a live version identification phase and an audio scenedetection phase. We improve the accuracy of the system by weighting similarity scores in the live version identification phase and discriminating scenes by using RMS, pulse clarity and similarity scores. Results show that the proposed method performs better than the previous method. The final algorithm achieves 70% accuracy on average.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 21st International Conference, MMM 2015, Proceedings
EditorsXiangjian He, Dacheng Tao, Muhammad Abul Hasan, Changsheng Xu, Jie Yang, Suhuai Luo
PublisherSpringer Verlag
Pages408-417
Number of pages10
ISBN (Electronic)9783319144443
Publication statusPublished - 2015 Jan 1
Event21st International Conference on MultiMedia Modeling, MMM 2015 - Sydney, Australia
Duration: 2015 Jan 52015 Jan 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8935
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st International Conference on MultiMedia Modeling, MMM 2015
CountryAustralia
CitySydney
Period15/1/515/1/7

Keywords

  • Audio scene detection
  • Live version
  • Music identification

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Ishikura, K., Uemura, A., & Katto, J. (2015). Live version identification with audio scene detection. In X. He, D. Tao, M. A. Hasan, C. Xu, J. Yang, & S. Luo (Eds.), MultiMedia Modeling - 21st International Conference, MMM 2015, Proceedings (pp. 408-417). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8935). Springer Verlag.