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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2011 - 6

A Combined Feedback and Noise Cancellation Algorithm for Binaural Hearing Aids

LEE, H.-W. See more information about LEE, H.-W. on SCOPUS See more information about LEE, H.-W. on IEEExplore See more information about LEE, H.-W. on Web of Science, JEON, M.-Y. See more information about JEON, M.-Y. on SCOPUS See more information about JEON, M.-Y. on SCOPUS See more information about JEON, M.-Y. on Web of Science
 
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Download PDF pdficon (726 KB) | Citation | Downloads: 1,268 | Views: 4,963

Author keywords
hearing aids, feedback, noise reduction, acoustic beam, microphone array

References keywords
hearing(14), aids(14), feedback(12), processing(7), cancellation(7), adaptive(7), speech(5), signal(5), audio(4), acoustic(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 35 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03006
Web of Science Accession Number: 000296186700006
SCOPUS ID: 80055079154

Abstract
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This paper proposes an adaptive algorithm for the combined acoustic feedback and noise cancellation in the binaural hearing aids. The proposed algorithm is based on dual microphones for feedback cancellation and the beamforming method for noise cancellation. The coefficients of feedback canceller are updated after subtracting the speech signal from the input signal by dual microphones. And the noise canceller reduces the noise signal in the residual signal excluding the speech by the beamforming method. Firstly, the feedback canceller operates to cancel the feedback signal in the microphone signal, and then the noise canceller operates to reduce the noise in the residual signal. Also, to assure the stable convergence of binaural hearing aids in the training mode, the coefficients of the left hearing aid are firstly updated, then the coefficients of the right hearing aid are updated. In the normal mode, the feedback and the noise canceller are operated without updating coefficients except an unstable case. To verify performances of the proposed algorithm, we analyzed its convergence behavior and simulated for real speech. From the results of simulations, it was proved that we can advance 14.43dB SFR(speech-to-feedback ratio) on average in the feedback canceller, 10.19dB SNR(speech-to-noise ratio) improvement on average in the noise canceller, in the case of applying the proposed algorithm.


References | Cited By  «-- Click to see who has cited this paper

[1] D. K. Bustamante, T. L. Worrall, M. J. Williamson, "Measurement and adaptive suppression of acoustic feedback in hearing aids", Proc. ICASSP-89, pp.2017-2020, April 1989.
[CrossRef]


[2] J. M. Kates, "Feedback cancellation in hearing aids : results from a computer simulation", IEEE Trans. Signal Processing, Vol.39, No.3, pp.553-562, March 1991.
[CrossRef] [Web of Science Times Cited 69]


[3] J. A. Maxwell, P. M. Zurek, "Reducing acoustic feedback in hearing aids", IEEE Trans., Speech Audio Processing, Vol.3, No.4, pp.304-313, July 1995.
[CrossRef] [Web of Science Times Cited 95]


[4] J. E. Greenberg, P. M. Zurek, and M. Brantley, "Evaluation of feedback-reduction algorithms for hearing aids", J. Acoust. Soc. Amer., Vol.108, No.5, pp.2366-2376, November 2000.
[CrossRef] [PubMed] [Web of Science Times Cited 48]


[5] S. Laugesen, K. V. Hansen, and J. Hellgren, "Acceptable delay in hearing aids and implications for feedback cancellation", J. Acoust. Soc. Amer., Vol.105, No.2, pp.1211-1212, 1999.
[CrossRef]


[6] J. Hellgren, U. Forssell, "Bias of feedback cancellation algorithm in hearing aids based on direct closed loop identification", IEEE Trans. Speech Audio Processing, Vol.9, No.8, pp.906-913, November 2001.
[CrossRef] [Web of Science Times Cited 58]


[7] J. M. Kates, "Constrained adaptation for feedback cancellation in hearing aids", J. Acoust. Soc. Amer., Vol.106, No.2, pp.1010-1019, August 1999.
[CrossRef] [PubMed] [Web of Science Times Cited 62]


[8] A. Spriet, I. Proudler, M. Moonen, and J. Wouters, "Adaptive feedback cancellation in hearing aids with linear prediction of the desired signal", IEEE Trans. Signal Process. Vol.53, No.10, pp.3749-3763, October 2005.
[CrossRef] [Web of Science Times Cited 144]


[9] A. Farassopoulos, "Speech enhancement for hearing aids using adaptive beamformers", Proc. ICASSP-89, pp.1322-1325, May 1989.
[CrossRef]


[10] J. E. Greenberg, P. M. Zurek, "Evaluation of an adaptive beamforming method for hearing aids", J. Acoust. Soc. Amer., Vol.91, No.3, pp.1662-1676, March 1992.
[CrossRef] [PubMed] [Web of Science Times Cited 137]


[11] J. V. Berghe, J. Wouters, "An adaptive noise canceller for hearing aids using two nearby microphones", J. Acoust. Soc. Amer., Vol.103, pp.3621-3626, June 1998.
[CrossRef] [PubMed] [Web of Science Times Cited 55]


[12] A. Spriet, G. Rombouts, M. Moonen, J. Wouters, "Combined Feedback and noise suppression in hearing aids", IEEE Trans. Audio Speech Language Processing, Vol.15, No.6, pp.1777-1790, August 2007.
[CrossRef] [Web of Science Times Cited 13]


[13] G. Rombouts, A. Spriet, M. Moonen, "Generalized sidelobe canceller based combined acoustic feedback and noise cancellation," ScienceDirect Signal Processing 88, pp.571-581, 2008.
[CrossRef] [Web of Science Times Cited 20]


[14] A. Lombard, K. Reindl, and W. Kellermann, "Combination of adaptive feedback cancellation and binaural adaptive filtering in hearing aids," EURASIP Journal on advances in signal processing, Vol.2009, 2009.
[CrossRef] [Web of Science Times Cited 3]


[15] M. G. Siqueira, A. Alwan, "Steady-state analysis of continuous adaptation in acoustic feedback reduction system for hearing-aids", IEEE Trans. Speech Audio Processing, Vol.8, No.4, pp.443-453, July 2000.
[CrossRef] [Web of Science Times Cited 121]


References Weight

Web of Science® Citations for all references: 825 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 55 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-27 04:09 in 88 seconds.




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