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Adaptive Feedback Cancellation for Realistic Hearing Aid Applications

Strasser, F. and Puder, H. (2015):
Adaptive Feedback Cancellation for Realistic Hearing Aid Applications.
23, In: IEEE/ACM Transactions on Audio, Speech, and Language Processing, (12), pp. 2322-2333, ISSN 2329-9290, [Online-Edition: http://ieeexplore.ieee.org/abstract/document/7268853/],
[Article]

Abstract

Acoustic feedback is a well-known phenomenon in hearing aids. Under certain conditions it causes the so-called howling effect, which is highly annoying for the hearing aid user and limits the maximum amplification of the hearing aid. The standard adaptive feedback cancellation algorithms suffer from a biased adaptation if the input signal is spectrally colored, as it is for speech and music signals. Due to this bias distortion artifacts (entrainment) are generated. In this paper, we present a sub-band feedback cancellation system which combines decorrelation methods with a new realization of a known non-parametric variable step size. To apply this step size in the context of adaptive feedback cancellation, a method to estimate the signal power of the desired input signal, i.e., without feedback, is necessary. A major part of this paper is spent with the theoretical derivation of this estimate. Furthermore, the complete system is evaluated extensively for several speech and music signals as well as for different feedback scenarios in simulations with feedback paths measured in concrete applications as well as for real-time simulations with hearing aid dummies. Both use hearing loss compensation methods as applied in physical hearing aids. The performance is measured in terms of being able to prevent entrainment and to react to feedback path changes. For both simulation setups the system shows a good performance with respect to the two performance measures. Furthermore, the overall feedback cancellation method relies only on few parameters, shows a low computational complexity, and therefore has a strong practical relevance.

Item Type: Article
Erschienen: 2015
Creators: Strasser, F. and Puder, H.
Title: Adaptive Feedback Cancellation for Realistic Hearing Aid Applications
Language: English
Abstract:

Acoustic feedback is a well-known phenomenon in hearing aids. Under certain conditions it causes the so-called howling effect, which is highly annoying for the hearing aid user and limits the maximum amplification of the hearing aid. The standard adaptive feedback cancellation algorithms suffer from a biased adaptation if the input signal is spectrally colored, as it is for speech and music signals. Due to this bias distortion artifacts (entrainment) are generated. In this paper, we present a sub-band feedback cancellation system which combines decorrelation methods with a new realization of a known non-parametric variable step size. To apply this step size in the context of adaptive feedback cancellation, a method to estimate the signal power of the desired input signal, i.e., without feedback, is necessary. A major part of this paper is spent with the theoretical derivation of this estimate. Furthermore, the complete system is evaluated extensively for several speech and music signals as well as for different feedback scenarios in simulations with feedback paths measured in concrete applications as well as for real-time simulations with hearing aid dummies. Both use hearing loss compensation methods as applied in physical hearing aids. The performance is measured in terms of being able to prevent entrainment and to react to feedback path changes. For both simulation setups the system shows a good performance with respect to the two performance measures. Furthermore, the overall feedback cancellation method relies only on few parameters, shows a low computational complexity, and therefore has a strong practical relevance.

Journal or Publication Title: IEEE/ACM Transactions on Audio, Speech, and Language Processing
Volume: 23
Number: 12
Uncontrolled Keywords: audio signal processing;hearing aids;acoustic feedback;adaptive feedback cancellation;computational complexity;feedback paths;hearing aid dummies;input signal;music signals;real-time simulations;realistic hearing aid applications;speech signals;standard adaptive feedback cancellation algorithms;Adaptation models;Auditory system;Feedback;Filtering;Frequency control;Hearing aids;Least square methods;Adaptation control;adaptive feedback cancellation;frequency shift;hearing aids;normalized least mean square (NLMS) filter adaptation;prediction error filter;variable step size
Divisions: Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE)
Exzellenzinitiative > Graduate Schools
Exzellenzinitiative
Date Deposited: 27 Feb 2017 13:30
Official URL: http://ieeexplore.ieee.org/abstract/document/7268853/
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