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Sub-band feedback cancellation with variable step sizes for music signals in hearing aids

Strasser, F. and Puder, H. (2014):
Sub-band feedback cancellation with variable step sizes for music signals in hearing aids.
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014, Florenz, Italien, pp. 8207-8211, ISSN 1520-6149, [Online-Edition: http://ieeexplore.ieee.org/abstract/document/6855201/],
[Conference or Workshop Item]

Abstract

Standard adaptive feedback cancellation algorithms in hearing aids suffer from a biased adaptation if the input signal is spectrally colored, as it is for tonal signals, like music. Due to that, distortion artifacts (entrainment) are generated. In this paper, a sub-band feedback cancellation system is presented combined with an adaptation control to deal with those signals. Two control concepts for determining the variable step sizes [1, 2], known from general adaptive filter algorithms, are theoretically and practically analyzed and evaluated for an application to feedback cancellation. For feedback cancellation the control is combined with known methods to reduce the bias, such as prediction error filtering or frequency shifting. Based on this combination, a completely new setup for feedback cancellation is proposed. It relies entirely on signals accessible in real systems, shows a low computational complexity, and therefore has a strong practical relevance.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Strasser, F. and Puder, H.
Title: Sub-band feedback cancellation with variable step sizes for music signals in hearing aids
Language: English
Abstract:

Standard adaptive feedback cancellation algorithms in hearing aids suffer from a biased adaptation if the input signal is spectrally colored, as it is for tonal signals, like music. Due to that, distortion artifacts (entrainment) are generated. In this paper, a sub-band feedback cancellation system is presented combined with an adaptation control to deal with those signals. Two control concepts for determining the variable step sizes [1, 2], known from general adaptive filter algorithms, are theoretically and practically analyzed and evaluated for an application to feedback cancellation. For feedback cancellation the control is combined with known methods to reduce the bias, such as prediction error filtering or frequency shifting. Based on this combination, a completely new setup for feedback cancellation is proposed. It relies entirely on signals accessible in real systems, shows a low computational complexity, and therefore has a strong practical relevance.

Uncontrolled Keywords: acoustic signal processing;adaptive filters;feedback;hearing aids;medical signal processing;adaptation control;adaptive feedback cancellation algorithms;biased adaptation;distortion artifacts;entrainment;frequency shifting;general adaptive filter algorithms;hearing aids;music signals;prediction error filtering;subband feedback cancellation system;tonal signals;Acoustics;Frequency control;Hearing aids;Multiple signal classification;Signal processing;Signal processing algorithms;Speech;Adaptive feedback cancellation;NLMS filter adaptation;adaptation control;hearing aids
Divisions: Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE)
Exzellenzinitiative > Graduate Schools
Exzellenzinitiative
Event Title: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014
Event Location: Florenz, Italien
Date Deposited: 27 Feb 2017 13:31
Official URL: http://ieeexplore.ieee.org/abstract/document/6855201/
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