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    A robust approach to reverberant blind source separation in the presence of noise for arbitrarily arranged sensors

    Access Status
    Fulltext not available
    Authors
    Jafari, I.
    Togneri, R.
    Nordholm, Sven
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Jafari, I. and Togneri, R. and Nordholm, S. 2012. A robust approach to reverberant blind source separation in the presence of noise for arbitrarily arranged sensors, in Proceedings of the 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 25-30 2012, pp. 2413-2416. Kyoto, Japan: The Institute of Electrical and Electronics Engineers.
    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.2012.6288402
    ISBN
    9781467300469
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/18549
    Collection
    • Curtin Research Publications
    Abstract

    Considerable attention has been devoted to the reverberant blind source separation problem: in particular, the concept of time-frequency masking. However, realistic acoustic scenarios often comprise not only reverberation, but also additive noise due to factors such as non-ideal channels. This paper presents robust evaluations of a time-frequency masking approach for separation in such realistic conditions. The fuzzy c-means clustering algorithm is used to cluster spatial feature cues into a time-frequency mask. Experimental results demonstrated superiority in separation, with notable improvements in the SNR additionally observed. Not only does this establish the proposed scheme viable for reverberant blind source separation, but also as a credible means of speech enhancement in the presence of additive broadband noise.

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