Literature DB >> 20815460

Evaluation of feedback reduction techniques in hearing aids based on physical performance measures.

Ann Spriet1, Marc Moonen, Jan Wouters.   

Abstract

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.

Mesh:

Year:  2010        PMID: 20815460     DOI: 10.1121/1.3458850

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  [(Air-conduction) Hearing aids-indication, designs and applications : Signal processing and importance of individual fitting].

Authors:  Hendrik Husstedt; Rainer Schönweiler
Journal:  HNO       Date:  2022-07-11       Impact factor: 1.330

2.  Examination of a mechanical amplifier in the incudostapedial joint gap: FEM simulation and physical model.

Authors:  Martin Koch; Till Moritz Eßinger; Matthias Bornitz; Thomas Zahnert
Journal:  Sensors (Basel)       Date:  2014-08-07       Impact factor: 3.576

  2 in total

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