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    Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array

    Access Status
    Fulltext not available
    Authors
    Nordholm, Sven
    Low, Siow Yong
    Date
    2006
    Type
    Conference Paper
    
    Metadata
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    Citation
    Nordholm, S. and Low, S.Y. 2006. Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array, in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 14-19 2006. Toulouse, France: IEEE.
    Source Title
    ICASSP/2006 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings
    Source Conference
    2006 IEEE International Conference on Acoustics, Speech, and Signal Processing
    DOI
    10.1109/ICASSP.2006.1661438
    ISBN
    1-4244-0469-X
    School
    Western Australian Telecommunications Research Institute (Research Institute)
    URI
    http://hdl.handle.net/20.500.11937/13262
    Collection
    • Curtin Research Publications
    Abstract

    Speech signal extraction is becoming more and more important as evidently displayed by its numerous applications such as mobile phones, conference equipment and surveillance. This paper presents a blind method to enhance a speech source of interest in noisy environments. The proposed technique consists of the principal component analysis (PCA) and the independent component analysis (ICA) to extract the speech signal. In an effort to overcome the small phase resolution due to the constraint on the inter-element distance, a non-uniform spacing PCA-ICA algorithm is suggested. By utilizing a different inter-element distance processing on each pair of microphones in a multistage fashion, a better separation is achieved. Results show better separation performance for the proposed method compared to the uniformly spaced microphone array.

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