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    Assistive listening headsets for high noise environments: Protection and communication

    234817_234817.pdf (562.8Kb)
    Access Status
    Open access
    Authors
    Nordholm, Sven
    Davis, A.
    Yong, P.
    Dam, Hai Huyen Heidi
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Nordholm, S. and Davis, A. and Yong, P. and Dam, H.H. 2015. Assistive listening headsets for high noise environments: Protection and communication, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5753-5757. South Brisbane, QLD: IEEE.
    Source Title
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    DOI
    10.1109/ICASSP.2015.7179074
    ISBN
    9781467369978
    School
    Department of Mathematics and Statistics
    Remarks

    Copyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/15882
    Collection
    • Curtin Research Publications
    Abstract

    © 2015 IEEE. In industrial noise environments, the use of assistive listening headsets is a means to provide adequate access to voice communication while wearing hearing protection. This paper presents a performance evaluation and comparison of two different methods to provide the binaural speech enhancement in real industrial noise scenarios. The investigated binaural methods based on differential beamforming and multichannel Wiener filter show different strengths and weaknesses. A transient noise suppression algorithm is also proposed and evaluated. Performance evaluation shows that this algorithm, together with the binaural multi-channel Wiener filter approach, can successfully reduce the hammering noise. This can be observed from the PESQ scores and the signal characteristics.

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