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 publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Volume5
    Publication statusPublished - 2006
    Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse
    Duration: 2006 May 142006 May 19

    Other

    Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
    CityToulouse
    Period06/5/1406/5/19

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    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Signal Processing
    • Acoustics and Ultrasonics

    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 ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5). [1661326]