Document Detail


Evaluation of feedback reduction techniques in hearing aids based on physical performance measures.
MedLine Citation:
PMID:  20815460     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper presents a physical evaluation of four feedback cancellation techniques in commercial hearing aids and two implementations of a recently developed feedback cancellation algorithm. Based on physical measures for detecting instability, oscillations and distortion, three performance aspects were measured: 1) the added stable gain compared to the hearing aid operating without feedback reduction for white noise as well as for spectrally colored input signals in two static acoustic conditions, 2) the amount of feedback, oscillations and distortion at gain values below the maximum stable gain, 3) the ability to track feedback path changes. Added stable gains between 3 dB and 26 dB were identified. Five of the six techniques achieve worse feedback reduction for a tonal opera input signal than for a speech input signal. Preventing the feedback canceller to drift away from an initial feedback path measurement results in improved performance for tonal signals at the expense of a worse feedback reduction in the acoustic conditions that differ from the condition for which the initialization was performed, as well as a worse tracking of feedback path changes. Repeated measures indicated that the reproducibility of the test set-up is crucial, in particular when the hearing aid operates close to instability.
Authors:
Ann Spriet; Marc Moonen; Jan Wouters
Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  The Journal of the Acoustical Society of America     Volume:  128     ISSN:  1520-8524     ISO Abbreviation:  J. Acoust. Soc. Am.     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-09-06     Completed Date:  2011-01-12     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7503051     Medline TA:  J Acoust Soc Am     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1245-61     Citation Subset:  IM    
Affiliation:
ESAT/SISTA, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium. ann.spriet@nxp.com
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MeSH Terms
Descriptor/Qualifier:
Acoustic Stimulation
Algorithms
Artifacts
Equipment Design
Feedback
Hearing Aids*
Materials Testing
Models, Theoretical
Noise
Signal Processing, Computer-Assisted*

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