• DocumentCode
    2179692
  • Title

    Simulation of hearing loss using compressive gammachirp auditory filters

  • Author

    Hu, Hongmei ; Sang, Jinqiu ; Lutman, Mark E. ; Bleeck, Stefan

  • Author_Institution
    Inst. of Sound & Vibration Res., Southampton Univ., Southampton, UK
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    5428
  • Lastpage
    5431
  • Abstract
    Hearing loss simulation (HLS) systems can provide normal hearing (NH) listeners with demonstrations of consequences of hearing impairment. An accurate simulation of hearing loss can be a valuable tool for developing signal processing strategies for hearing aids. This paper presents a novel HLS system which is based on a physiologically motivated compressive gammachirp auditory filter bank to simulate several aspects of hearing loss including elevated hearing threshold, loudness recruitment and reduced frequency selectivity. The model was evaluated by speech-in-noise tests. An experiment with normally hearing and hearing-impaired listeners showed that the proposed HLS model can mimic typical hearing loss. It is concluded that a physiologically-inspired hearing loss model can perform in the same way as phenomenological models, yet has more fundamental underpinning.
  • Keywords
    channel bank filters; hearing; medical signal processing; noise; physiological models; HLS system; hearing aids; hearing loss simulation systems; hearing threshold; hearing-impaired listeners; loudness recruitment; physiologically motivated compressive gammachirp auditory filter bank; physiologically-inspired hearing loss model; reduced frequency selectivity; signal processing strategy; speech-in-noise tests; Filter banks; Noise; Psychoacoustic models; Recruitment; Speech; Hearing loss simulation; gammachirp auditory filter; sensorineural hearing loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5947586
  • Filename
    5947586