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http://dx.doi.org/10.5370/KIEE.2013.62.12.1744

A Variable Step-Size Adaptive Feedback Cancellation Algorithm based on GSAP in Digital Hearing Aids  

An, Hongsub (Dept. of Electronic Engineering, Inha University)
Park, Gyuseok (Dept. of Electronic Engineering, Inha University)
Song, Jihyun (Dept. of Electronic Engineering, Inha University)
Lee, Sangmin (Dept. of Electronic Engineering and Institute for Information and Electronic Research Inha University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.62, no.12, 2013 , pp. 1744-1749 More about this Journal
Abstract
Acoustic feedback is perceived as whistling or howling, which is a major complaint of hearing-aids users. Acoustic feedback cancellation is important in hearing-aids because acoustic feedback degrades performance of the hearing aid device by reducing maximum insertion gain. Adaptive systems for estimate acoustic feedback path and feedback suppression algorithms have been proposed in order to solve this problem. A typical feedback cancellation algorithm is LMS(least mean squares) because of its computational efficiency. However it has problem of convergence performance in high correlated input signal. In this paper, we propose a new variable step-size normalized LMS(least mean squares) algorithm using VAD(voice activity detection) to overcome the limitation of the LMS algorithm. The VAD algorithm is GSAP(global speech absence probability) and the feedback cancellation algorithm is normalized LMS. The proposed algorithm applies different step-size between voice and non-voice using VAD, for high stability, fast convergence speed and low misalignment when correlated inputs, such as speech. The result of simulation with white noise mixed speech signal, the proposed algorithm shows high performance then traditional algorithm in terms of stability, convergence speed and misalignment.
Keywords
Acoustic feedback; Least mean squares; Global speech absence probability; Hearing-aids;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Maxwell, J. and Zurek, P., "Reducing acoustic feedback in hearing aids," IEEE Trans. Speech Audio Processing, vol. 4, pp. 304-313, July 1995
2 H. S. An, G. S. Park, Y. Y. Jeon, Y. R. Song, S. M. Lee, "The Assessment on the Sound Quality of Reduced Frequency Selectivity of Hearing Impaired People," Trans. KIEE., vol. 60, no.6, KIEE, pp. 1196-1203, 2011   과학기술학회마을   DOI   ScienceOn
3 J. H. Lee, K. W. Lee, "Hearing aid evaluation," Hackjisa, ISBN 978-89-5891-106-7, 2009
4 M. G. Siqueira, A. Alwan, R. Speece, "Steady-state analysis of continuous adaptation in acoustic feedback reduction systems for hearing-aids," IEEE Trans. Speech and Audio Processing, vol. 8, no. 4, pp. 443-453, Jul. 2000   DOI   ScienceOn
5 Widrow, B., McCool, J. M., Larimore M., and Johnson, C. R., "Stationary and nonstationary learning characteristics of the LMS adaptive filter," Proc. IEEE, vol. 64, no. 8, pp. 1151-1162, Aug. 1976   DOI   ScienceOn
6 Vinay K. Ingle, John G. Proakis, "Digital Signal Processing using Matlab," THOMSON, ISBN 978-89-92675-46-8, 2007
7 Y. S. Park, H. S. An, S. M. Lee, "Speech enhancement algorithm based on teager energy and speech absence probability in noisy environments," Trans. IEEK., vol. 49, no. 3, IEEK., pp. 81-88, 2012   과학기술학회마을   DOI   ScienceOn
8 S. Y. Lee and N.S. Kim, "A statistical model based residual echo suppression," IEEE Signal Processing Letters, vol. 14, no. 10, pp. 758-761, Oct. 2007.   DOI   ScienceOn
9 N. S. Kim and J. H. Chang, "Spectral enhancement based on global soft decision," IEEE Signal Processing Letters, vol. 7, no. 5, pp.108-110, May 2000   DOI   ScienceOn
10 H. C. Shin, A. H. Sayed, and W. J. Song, "Variable step-size NLMS and affine projection algorithms," IEEE Signal Processing, vol. 11, no. 2, pp. 132-135, Feb. 2004   DOI   ScienceOn