Vocal separation by constrained non-negative matrix factorization

Eri Ochiai, Takanori Fujisawa, Masaaki Ikehara

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    The vocal separation is to separate vocal part and remove the accompaniment part from the mixed music data. Vocal part include many information, singer, lyric and emotion of the song. If we can extraction only the vocal part from the original sound from CD source, it can be applied to various applications. In this paper, we propose a new method to take out the natural vocal parts from mixed music by using non-negative matrix factorization (NMF). This NMF-based framework separates the harmonic, percussive, and vocal structures from the input signal. We impose the constraint into each component to enforce its feature such as harmonic or temporal continuity. In addition, we propose a framework utilizing the prior information in order to achieve the valid vocal separation over this mathematical procedure. The experiments over some vocal databases show the proposed framework has the superior separation performance compared to the conventional methods. Also by considering the characteristics of music, we intend to obtain high accuracy result.

    本文言語English
    ホスト出版物のタイトル2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ480-483
    ページ数4
    ISBN(電子版)9789881476807
    DOI
    出版ステータスPublished - 2016 2 19
    イベント2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
    継続期間: 2015 12 162015 12 19

    Other

    Other2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
    国/地域Hong Kong
    CityHong Kong
    Period15/12/1615/12/19

    ASJC Scopus subject areas

    • 人工知能
    • モデリングとシミュレーション
    • 信号処理

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