NDLI: Acoustic feedback reduction based on FIR and IIR adaptive filters in ITE digital hearing aids

Content Provider	IEEE Xplore Digital Library
Author	Martinez-Leira, A. Vicen-Bueno, R. Gil-Pita, R. Rosa-Zurera, M.
Copyright Year	2008
Description	Author affiliation: Dimetronic-Signals-San-Fernando-Bus.-Park, Madrid (Martinez-Leira, A.)
Abstract	Acoustic feedback phenomenon can deteriorate the performance of digital hearing aids performance working at high gains, causing instability and speech degradation. In order to restore a stable situation, it is needed a feedback reduction system based on adaptive algorithms. Depending on the adaptive flter impulse response, a feedback reduction algorithm based on a finite impulse response (FIR) or an infinite impulse response (IIR) adaptive filter can be used. The commonly used adaptive algorithm based on FIR filters is the least-mean square (LMS) algorithm, but it becomes unstable if some conditions are not fulfilled. In order to avoid this problem, a feedback reduction subsystem based on IIR filters is proposed. In this case, the IIR filter is adapted with a modified version of the LMS algorithm for this kind of filters, which is called the IIR-LMS algorithm. These two adaptive algorithms are tested in the In-The-Ear (ITE) hearing aid category, which the category that most suffer from acoustic feedback. In order to determine which feedback reduction technique (FIR or IIR) is the most suitable for the ITE hearing aid, the added stable gain (ASG) value over its limit gain of performance is obtained. The ASG value is achieved as a tradeo between the speech quality (subjective parameter) and the segmented signal-to-noise ratio (objective parameter). The results show how the digital hearing aid working with an acoustic feedback reduction subsystem based on IIR filters adapted with the IIR-LMS algorithm achieves an increase of 8 dB in its ASG.
Starting Page	1442
Ending Page	1448
File Size	272982
Page Count	7
File Format	PDF
ISBN	9781424417230
DOI	10.1109/ICALIP.2008.4590247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive filters Signal processing algorithms Auditory system Finite impulse response filter Hearing aids Acoustics Gain
Content Type	Text
Resource Type	Article

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