• DocumentCode
    730898
  • Title

    Assistive listening headsets for high noise environments: Protection and communication

  • Author

    Nordholm, Sven ; Davis, Alan ; Pei Chee Yong ; Hai Huyen Dam

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    5753
  • Lastpage
    5757
  • Abstract
    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.
  • Keywords
    Wiener filters; acoustic noise; acoustic signal processing; hearing; speech enhancement; PESQ scores; assistive listening headsets; binaural multichannel Wiener filter; binaural speech enhancement; differential beamforming; hammering noise reduction; hearing protection; high noise environments; industrial noise scenarios; signal characteristics; voice communication; Microphones; Noise; Noise measurement; Noise reduction; Speech; Speech enhancement; Transient analysis; Assistive listening; binaural multi-channelWiener filter; differential microphone array; impulsive noise reduction; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7179074
  • Filename
    7179074