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    Convex combination framework for a priori SNR estimation in speech enhancement

    Access Status
    Fulltext not available
    Authors
    Nahma, L.
    Yong, P.
    Dam, Hai Huyen Heidi
    Nordholm, Sven
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Nahma, L. and Yong, P. and Dam, H.H.H. and Nordholm, S. 2017. Convex combination framework for a priori SNR estimation in speech enhancement, pp. 4975-4979.
    Source Title
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    DOI
    10.1109/ICASSP.2017.7953103
    ISBN
    9781509041176
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/55889
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 IEEE. The paper proposes a convex combination fusion function based on a sigmoid function for the estimation of the a priori SNR in a speech enhancement framework with critical frequency band processing. The proposed method does not only eliminate the one frame delay generated by the well-known decision directed approach but also increases the adaptation speed during abrupt changes in the SNR estimation. As a result, the advantage of low musical noise has been maintained while more weak speech components have been preserved. Experimental results using instrumental and subjective measures also indicate improvement in speech quality compared to the reference methods.

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