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    Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009

    133824_133824.pdf (580.3Kb)
    Access Status
    Open access
    Authors
    Kϋhnapfel, Thorsten
    Tan, Tele
    Venkatesh, Svetha
    Igel, B.
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Kϋhnapfel, Thorsten and Tan, Tele and Venkatesh, Svetha and Igel, B. 2009. Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009, in Tubaro, S. and Dugelay, J. (ed), AVSS 2009, Sep 2 2009, pp. 308-313. Genoa, Italy: IEEE Computer Society.
    Source Title
    Proceedings of the 2009 6th IEEE International Conference on Advanced Video and Signal Based Surveillance
    Source Conference
    AVSS 2009
    Additional URLs
    http://dblp.uni-trier.de/db/conf/avss/avss2009.html#KuhnapfelTVI09
    ISBN
    9780769537184
    Faculty
    School of Science and Computing
    Department of Computing
    Faculty of Science and Engineering
    Remarks

    Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/27305
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a new approach to enhance speech based on a distributed microphone network. Each microphone is used to simultaneously classify the input into either one of the noise types or as speech. For enhancing the speech signal a modified spectral subtraction approach is used that utilise the sound information of the entire network to update the noise model even during speech. This improves the reduction of the ambient noise, especially for non-stationary noise types such as street or beach noise. Experiments demonstrate the effectiveness of the proposed system.

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