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Related Experiment Videos

Evaluation of feedback-reduction algorithms for hearing aids.

J E Greenberg1, P M Zurek, M Brantley

  • 1Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge 02139, USA.

The Journal of the Acoustical Society of America
|December 7, 2000
PubMed
Summary

The continuously adapting CNN algorithm significantly improved hearing aid performance by providing more stable gain compared to other methods. This adaptive feedback reduction technology offers greater benefits for individuals with severe hearing loss.

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Area of Science:

  • Audiology
  • Digital Signal Processing
  • Biomedical Engineering

Background:

  • Hearing aid feedback, or whistling, is a common problem that limits the maximum usable gain.
  • Adaptive feedback-reduction algorithms aim to increase stable gain and improve user satisfaction.

Purpose of the Study:

  • To evaluate and compare the performance of three adaptive feedback-reduction algorithms in a digital hearing aid system.
  • To assess the impact of these algorithms on maximum stable gain and subjective speech quality.

Main Methods:

  • Implementation of three adaptive feedback-reduction algorithms: CNN (Closed-loop processing with No probe Noise), ONO (Open-loop with Noise when Oscillation detected), and ONQ (Open-loop with Noise when Quiet detected).
  • Evaluation using dynamic feedback paths and hearing-impaired subjects, measuring maximum stable gain and subjective quality ratings.

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  • Analysis of algorithm performance across different hearing loss severities and vent conditions.

    • Main Results:

    • The CNN algorithm achieved the highest average Added Stable Gain (ASG) of 8.5 dB, outperforming ONO and ONQ (5 dB ASG).
    • Subjects with severe hearing loss experienced greater benefits, with the CNN algorithm yielding 13 dB ASG.
    • Subjective speech quality ratings did not show significant differences, though probe noise from ONO/ONQ was disliked.

    Conclusions:

    • The continuously adapting CNN algorithm demonstrates superior performance for adaptive feedback reduction in digital hearing aids.
    • CNN offers a promising solution for increasing stable gain, particularly for users with significant hearing impairment.
    • Further research may be needed to address user objections to probe noise in intermittently adapting algorithms.