Blind decomposition utilizing aggregated microphones

Mitsuharu Matsumoto, Shuji Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
    Pages491-496
    Number of pages6
    Publication statusPublished - 2006
    Event8th 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
    Duration: 2006 Aug 142006 Aug 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

    Keywords

    • Aggregated microphones
    • Blind decomposition
    • Frequency analysis
    • Partially disjoint
    • The ratio of directivity

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing

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  • Cite this

    Matsumoto, M., & Hashimoto, S. (2006). Blind decomposition utilizing aggregated microphones. In Proceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006 (pp. 491-496)