Multipitch estimation and instrument recognition by exemplar-based sparse representation

Ikuo Degawa, Kei Sato, Masaaki Ikehara

    研究成果: Conference contribution

    抄録

    This paper investigates the pitch estimation and the instrument recognition of music signals. A note exemplar is a spectrum segment of notes of the specific pitch and instrument, which is stored as a form of dictionary preliminarily. We describe the method of reconstructing a frame of musical signals as the linear combination of exemplars from the large exemplar dictionary with sparse (l1 minimized) coefficient vector. Reconstruction constraints are imposed to KL divergence of spectra, which is found to produce better results than Euclidean distance. The proposed algorithm shows the ability to transcript music pieces with relatively many notes per a frame and to divide the instrument explicitly through some experiments.

    本文言語English
    ホスト出版物のタイトルConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
    出版社IEEE Computer Society
    ページ560-564
    ページ数5
    ISBN(印刷版)9781479923908
    DOI
    出版ステータスPublished - 2013 1 1
    イベント2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
    継続期間: 2013 11 32013 11 6

    出版物シリーズ

    名前Conference Record - Asilomar Conference on Signals, Systems and Computers
    ISSN(印刷版)1058-6393

    Other

    Other2013 47th Asilomar Conference on Signals, Systems and Computers
    国/地域United States
    CityPacific Grove, CA
    Period13/11/313/11/6

    ASJC Scopus subject areas

    • 信号処理
    • コンピュータ ネットワークおよび通信

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