Blind decomposition utilizing aggregated microphones

Mitsuharu Matsumoto*, Shuji Hashimoto

*この研究の対応する著者

    研究成果: Conference contribution

    抄録

    This paper describes a blind decomposition algorithm utilizing two directional microphones located at the same place, namely aggregated microphones. Recently, some authors proposed sound separation algorithm utilizing sparseness of the sounds. In these methods, we can extract each signal using the time-frequency binary masks. However, these method can not separate the sounds if the sounds overlap in frequency domain due to the sparseness assumption. In this paper, we treat the problem of separating not only the sounds which hardly overlap but also the sounds which overlap in most of frequency domain. It should be noted that we need to know neither the directivities of two microphones nor the overlapping frequency components in advance. In this paper, we describe the necessary conditions and the algorithm of the proposed method. Some experimental results show that the proposed method can separate not only the sounds which hardly overlap but also the sounds which overlap in most of frequency domain.

    本文言語English
    ホスト出版物のタイトルProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
    ページ491-496
    ページ数6
    出版ステータスPublished - 2006
    イベント8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 - Honolulu, HI
    継続期間: 2006 8 142006 8 16

    Other

    Other8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006
    CityHonolulu, HI
    Period06/8/1406/8/16

    ASJC Scopus subject areas

    • コンピュータ ビジョンおよびパターン認識
    • 信号処理

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