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    Trade-off evaluation for speech enhancement algorithms with respect to the a priori SNR estimation acoustics

    Access Status
    Fulltext not available
    Authors
    Yong, Pei
    Nordholm, Sven
    Dam, Hai Huyen Heidi
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Yong, P. and Nordholm, S. and Dam, H.H.H. 2012. Trade-off evaluation for speech enhancement algorithms with respect to the a priori SNR estimation acoustics, in Proceedings of the 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 25-30 2012, pp. 4657-4660. Kyoto, Japan: The Institute of Electrical and Electronics Engineers Signal Processing Society.
    Source Title
    Proceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
    Source Conference
    2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
    DOI
    10.1109/ICASSP.2012.6288957
    ISBN
    9781467300469
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/32699
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, a modified a priori SNR estimator is proposed for speech enhancement. The well-known decision-directed (DD) approach is modified by matching each gain function with the noisy speech spectrum at current frame rather than the previous one. The proposed algorithm eliminates the speech transient distortion and reduces the impact from the choice of the gain function towards the level of smoothing in the SNR estimate. An objective evaluation metric is employed to measure the trade-off between musical noise, noise reduction and speech distortion. Performance is evaluated and compared between a modified sigmoid gain function, the state-of-the-art log-spectral amplitude estimator and the Wiener filter. Simulation results show that the modified DD approach performs better in terms of the trade-off evaluation.

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