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Signal processing for hearing impairment

H Levitt1, M Bakke, J Kates

  • 1Center for Research in Speech and Hearing Sciences, Graduate School, City University of New York, NY 10036.

Scandinavian Audiology. Supplementum
|January 1, 1993
PubMed
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The two-microphone adaptive noise canceller significantly improved speech recognition for hearing aids, especially in reverberant environments. Short-term Wiener filtering also showed benefits for some individuals with hearing impairment.

Area of Science:

  • Audiology
  • Signal Processing
  • Biomedical Engineering

Background:

  • Hearing impairment affects millions globally, necessitating advanced sensory aids.
  • Effective noise reduction is crucial for improving speech intelligibility in noisy environments.
  • Current hearing aid technologies face challenges in complex acoustic conditions.

Purpose of the Study:

  • To evaluate the efficacy of four distinct noise reduction algorithms for hearing impairment.
  • To compare the performance of adaptive noise cancellation, Wiener filtering, spectrum subtraction, and sinusoidal modeling.
  • To determine the optimal method for enhancing speech recognition in sensory aids.

Main Methods:

  • Evaluation of a two-microphone adaptive noise canceller.

Related Experiment Videos

  • Assessment of short-term Wiener filtering.
  • Analysis of a transformed spectrum subtraction technique.
  • Investigation of sinusoidal modeling for noise reduction.

    • Main Results:

    • The two-microphone adaptive noise canceller yielded the greatest speech recognition improvements in reverberant settings.
    • Short-term Wiener filtering provided significant gains for certain hearing-impaired participants.
    • Transformed spectrum subtraction enhanced performance as a cochlear implant preprocessor but not as a hearing aid front-end.
    • Sinusoidal modeling improved signal-to-noise ratio but not speech intelligibility.

    Conclusions:

    • The two-microphone adaptive noise canceller is a promising technology for hearing aid applications.
    • Algorithm selection for noise reduction should consider the specific hearing aid system and acoustic environment.
    • Further research is needed to optimize algorithms like sinusoidal modeling for speech intelligibility.