Feature space modification for content-based music retrieval based on user preferences

Keiichiro Hoashi, Kazunori Matsumoto, Fumiaki Sugaya, Hiromi Ishizaki, Jiro Katto

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

4 Citations (Scopus)

Abstract

This paper proposes a feature space modification method for feature extraction of music, which is effective for the development of a content-based music information retrieval (MIR) system based on user preferences. The proposed method conducts clustering of all songs in the music collection, and utilizes the resulting cluster IDs as training data for feature space modification, and is capable to automatically generate a feature space which is suitable to the content of any music collection. Experiment results prove that the proposed method improves accuracy of user preference based MIR.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesV517-V520
Publication statusPublished - 2006 Dec 1
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: 2006 May 142006 May 19

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Conference

Conference2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
CountryFrance
CityToulouse
Period06/5/1406/5/19

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Feature space modification for content-based music retrieval based on user preferences'. Together they form a unique fingerprint.

  • Cite this

    Hoashi, K., Matsumoto, K., Sugaya, F., Ishizaki, H., & Katto, J. (2006). Feature space modification for content-based music retrieval based on user preferences. In 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings (pp. V517-V520). [1661326] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 5).