Evaluation of State-of-the-Art Acoustic Feedback Cancellation Systems for Hearing Aids

Research output: Contribution to journalJournal articleResearchpeer-review

18 Citations (Scopus)

Abstract

This research evaluates four state-of-the-art acoustic feedback cancellation systems in hearing aids in terms of the cancellation performance, sound quality degradation, and computational complexity. The authors compared a traditional full-band system to a system with a prediction error method in a full band, a subband system, a subband system with frequency shifting, and a recently proposed subband system with a novel probe noise deployment. All systems outperformed the traditional full-band system in cancellation performance, especially the subband system with probe noise is most effective for cancellation. However, in all cases there was a trade-off between performance and computational cost. With a 3-times increase in computation load, the probe noise based cancellation system can be realized that functions even in the most challenging feedback situation.
Original languageEnglish
JournalJournal of the Audio Engineering Society
Volume61
Issue number3
Pages (from-to)125-137
Number of pages13
ISSN1549-4950
Publication statusPublished - 9 Apr 2013

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Hearing aids
Acoustics
Feedback
Computational complexity
Acoustic waves
Degradation
Hearing Aids
Evaluation
Costs

Cite this

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title = "Evaluation of State-of-the-Art Acoustic Feedback Cancellation Systems for Hearing Aids",
abstract = "This research evaluates four state-of-the-art acoustic feedback cancellation systems in hearing aids in terms of the cancellation performance, sound quality degradation, and computational complexity. The authors compared a traditional full-band system to a system with a prediction error method in a full band, a subband system, a subband system with frequency shifting, and a recently proposed subband system with a novel probe noise deployment. All systems outperformed the traditional full-band system in cancellation performance, especially the subband system with probe noise is most effective for cancellation. However, in all cases there was a trade-off between performance and computational cost. With a 3-times increase in computation load, the probe noise based cancellation system can be realized that functions even in the most challenging feedback situation.",
author = "Meng Guo and Jensen, {S{\o}ren Holdt} and Jesper Jensen",
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Evaluation of State-of-the-Art Acoustic Feedback Cancellation Systems for Hearing Aids. / Guo, Meng; Jensen, Søren Holdt; Jensen, Jesper.

In: Journal of the Audio Engineering Society, Vol. 61, No. 3, 09.04.2013, p. 125-137.

Research output: Contribution to journalJournal articleResearchpeer-review

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AU - Jensen, Jesper

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N2 - This research evaluates four state-of-the-art acoustic feedback cancellation systems in hearing aids in terms of the cancellation performance, sound quality degradation, and computational complexity. The authors compared a traditional full-band system to a system with a prediction error method in a full band, a subband system, a subband system with frequency shifting, and a recently proposed subband system with a novel probe noise deployment. All systems outperformed the traditional full-band system in cancellation performance, especially the subband system with probe noise is most effective for cancellation. However, in all cases there was a trade-off between performance and computational cost. With a 3-times increase in computation load, the probe noise based cancellation system can be realized that functions even in the most challenging feedback situation.

AB - This research evaluates four state-of-the-art acoustic feedback cancellation systems in hearing aids in terms of the cancellation performance, sound quality degradation, and computational complexity. The authors compared a traditional full-band system to a system with a prediction error method in a full band, a subband system, a subband system with frequency shifting, and a recently proposed subband system with a novel probe noise deployment. All systems outperformed the traditional full-band system in cancellation performance, especially the subband system with probe noise is most effective for cancellation. However, in all cases there was a trade-off between performance and computational cost. With a 3-times increase in computation load, the probe noise based cancellation system can be realized that functions even in the most challenging feedback situation.

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