Blind source separation using correlation at neighboring frequencies

Rintarp Sukegawa, Shinya Uchida, Takayuki Nagai, Masaaki Ikehara

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    We propose blind source separation using correlation at neighboring frequencies based on DUET. DUET assume that sound sources meet the W-disjoint orthogonal and each source exists in the different position. Using these conditions, the amplitude and phase parameters are estimated to create amplitude-phase histogram from two mixtures. Each peak in the histogram corresponds to each source. However, because there exists acoustic echo in the real environment, the histogram distributes over wide range and we can not classify each source. In the frequency domain, acoustic signals have high correlations at neighboring frequencies. We incorporate this idea to the DUET to separate the sources more exactly. Through the simulation of both DUET and our new method, we compare the separation performance of our new method with that of DUET and confirm the validity of our method.

    本文言語English
    ホスト出版物のタイトル2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ451-454
    ページ数4
    ISBN(印刷版)0780397339, 9780780397330
    DOI
    出版ステータスPublished - 2006 1 1
    イベント2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06 - Yonago, Japan
    継続期間: 2006 12 122006 12 15

    出版物シリーズ

    名前2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06

    Other

    Other2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06
    国/地域Japan
    CityYonago
    Period06/12/1206/12/15

    ASJC Scopus subject areas

    • コンピュータ サイエンスの応用
    • 信号処理
    • ソフトウェア
    • 電子工学および電気工学
    • 数学 (全般)

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