Decomposition of monaural sound with unknown number of sources

Takuya Murayama, Shuji Hashimoto

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

    Abstract

    Humans possess an extremely flexible sound analysis ability to separate mixed sounds. Several methods, to realize automated sound source separation, have been proposed. The most of them assume certain assumptions on the measurement and the sound sources such as multiple microphones and non-overlapping spectra. It is better to make the assumptions looser. We have also proposed a monaural-sound source separation algorithm based on the time change differences of the power spectra for mostly overlapping sounds. However, the algorithm assumes that the mixed sound is composed of two sounds. In this paper, we propose an improved monaural-sound source separation algorithm, which can separate a mixed sound composed of more than two sounds without the knowledge of the sound source number.

    Original languageEnglish
    Title of host publicationProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
    Pages436-442
    Number of pages7
    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

    • Blind source separation
    • Matrix equation
    • Modeling
    • Monaural-sound
    • Power spectra
    • Sound number estimation

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing

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