Separation matrix optimization using associative memory model for blind source separation

Motoi Omachi, Tetsuji Ogawa, Tetsunori Kobayashi, Masaru Fujieda, Kazuhiro Katagiri

    研究成果: Conference contribution

    1 引用 (Scopus)

    抜粋

    A source signal is estimated using an associative memory model (AMM) and used for separation matrix optimization in linear blind source separation (BSS) to yield high quality and less distorted speech. Linear-filtering-based BSS, such as independent vector analysis (IVA), has been shown to be effective in sound source separation while avoiding non-linear signal distortion. This technique, however, requires several assumptions of sound sources being independent and generated from non-Gaussian distribution. We propose a method for estimating a linear separation matrix without any assumptions about the sources by repeating the following two steps: estimating non-distorted reference signals by using an AMM and optimizing the separation matrix to minimize an error between the estimated signal and reference signal. Experimental comparisons carried out in simultaneous speech separation suggest that the proposed method can reduce the residual distortion caused by IVA.

    元の言語English
    ホスト出版物のタイトル2015 23rd European Signal Processing Conference, EUSIPCO 2015
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ1098-1102
    ページ数5
    ISBN(印刷物)9780992862633
    DOI
    出版物ステータスPublished - 2015 12 22
    イベント23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France
    継続期間: 2015 8 312015 9 4

    Other

    Other23rd European Signal Processing Conference, EUSIPCO 2015
    France
    Nice
    期間15/8/3115/9/4

    ASJC Scopus subject areas

    • Media Technology
    • Computer Vision and Pattern Recognition
    • Signal Processing

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  • これを引用

    Omachi, M., Ogawa, T., Kobayashi, T., Fujieda, M., & Katagiri, K. (2015). Separation matrix optimization using associative memory model for blind source separation. : 2015 23rd European Signal Processing Conference, EUSIPCO 2015 (pp. 1098-1102). [7362553] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EUSIPCO.2015.7362553