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A Switched Algorithm for Adaptive Feedback Cancellation Using Pre-Filters in Hearing Aids.

Linh Thi Thuc Tran1, Sven Erik Nordholm2

  • 1Department of Electrical and Electronics Engineering, Posts and Telecommunications Institute of Technology, Hanoi 12110, Vietnam.

Audiology Research
|August 27, 2021
PubMed
Summary
This summary is machine-generated.

A new switched prediction error method with soft-clipping (swPEMSC) improves hearing aid stability by reducing feedback. This method enhances convergence and tracking rates, minimizing howling and maintaining signal quality.

Keywords:
APAIndex Terms—adaptive feedback cancellationNLMSprediction error methodsoft-clipping based stability detector

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Area of Science:

  • Digital signal processing
  • Acoustics
  • Hearing aid technology

Background:

  • Acoustic coupling between microphone and loudspeaker is a major challenge in open-fit digital hearing aids.
  • This coupling degrades signal quality and limits stable gain, especially with spectrally colored signals like speech.
  • Adaptive feedback cancellation (AFC) mitigates acoustic coupling but can introduce bias in feedback path estimation.

Purpose of the Study:

  • To propose a switched prediction error method with soft-clipping (swPEMSC) for improved hearing aid feedback cancellation.
  • To enhance convergence/tracking rates and recovery from unstable conditions (howling).
  • To reduce bias in feedback path estimation caused by correlated signals.

Main Methods:

  • The study introduces a switched PEM with soft-clipping (swPEMSC) incorporating a novel update rule from a soft-clipping based stability detector (SCSD).
  • swPEMSC adaptively selects between PEMSC-NLMS (low steady-state error, slow convergence) and PEMSC-APA (fast convergence, high steady-state error) based on feedback signal magnitude.
  • This switching strategy leverages the strengths of both methods to balance error and convergence speed.

Main Results:

  • Experimental results demonstrate that swPEMSC significantly shortens unstable periods (howling) compared to existing methods.
  • The proposed method shows improved convergence and tracking rates, crucial for handling abrupt changes in feedback paths.
  • swPEMSC effectively retains a low steady-state error and maintains good signal quality.

Conclusions:

  • The swPEMSC offers a robust solution for acoustic feedback cancellation in open-fit hearing aids.
  • It effectively balances fast adaptation with low steady-state error, improving overall hearing aid performance and user experience.
  • This approach provides a better ability to recover from howling and maintain audibility.