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Simulation of multi-microphone hearing aids in multiple interference environments

M W Hoffman1, R W Stewart

  • 1Department of Electrical Engineering, University of Nebraska, Lincoln 68588-0511, USA.

British Journal of Audiology
|August 1, 1996
PubMed
Summary
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Digital Signal Processing (DSP) in hearing aids effectively uses multiple microphones. This study optimizes resource allocation for better hearing aid performance in noisy environments.

Area of Science:

  • Audiology
  • Digital Signal Processing
  • Acoustics

Background:

  • Hearing aid performance is often limited by background noise.
  • Multiple microphone arrays offer potential for improved noise reduction.
  • Optimal resource allocation in digital signal processing (DSP) for hearing aids is crucial.

Purpose of the Study:

  • To investigate the advantages of DSP hardware for hearing aids with multiple microphone arrays.
  • To determine the optimal distribution of processing resources (microphones vs. tap weights) in adaptive DSP systems.
  • To evaluate hearing aid performance under various acoustic conditions.

Main Methods:

  • Computer simulations were used to model hearing aid performance.
  • Simulations included acoustic headshadow, reverberation, and non-ideal microphone hardware.

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  • Performance was evaluated across diverse environments with varying noise levels and reverberation.

    • Main Results:

    • The study quantified performance improvements using the broadband unweighted signal-to-babble ratio.
    • Results demonstrated the impact of microphone array configuration and processing resource allocation.
    • Both fixed and robust adaptive DSP systems were analyzed.

    Conclusions:

    • Appropriate distribution of processing resources is key for implementable adaptive DSP hearing aid systems.
    • DSP hardware offers significant advantages in multiple microphone array hearing aids.
    • Performance gains are dependent on environmental factors and system design.