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http://dx.doi.org/10.6109/jkiice.2012.16.2.237

An Acoustic Echo Canceller for Double-talk by Blind Signal Separation  

Lee, Haeng-Woo (남서울대학교)
Yun, Hyun-Min (재능대학교)
Abstract
This paper describes an acoustic echo canceller with double-talk by the blind signal separation. The acoustic echo canceller is deteriorated or diverged in the double-talk period. So we use the blind signal separation to estimate the near-end speech signal and to eliminate the estimated signal from the residual signal. The blind signal separation extracts the near-end signal with dual microphones by the iterative computations using the 2nd order statistical character. Because the mixture model of blind signal separation is multi-channel in the closed reverberation environment, we used the copied coefficients of echo canceller without computing the separation coefficients. By this method, the acoustic echo canceller operates irrespective of double-talking. We verified performances of the proposed acoustic echo canceller by simulations. The results show that the acoustic echo canceller with this algorithm detects the double-talk periods thoroughly, and then operates stably in the normal state without the divergence of coefficients after ending the double-talking. And it shows the ERLE of averagely 20dB higher than the normal LMS algorithm.
Keywords
Blind Signal Separation; Acoustic echo canceller; Double-talk; Multi-channel; Adaptive algorithm;
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1 D.W.E. Schobben, P. "Sommen, A frequency domain blind signal separation method based on decorrelation," IEEE Trans. Signal Process., vol.50, no.8, pp.1855-1865, 2002.   DOI   ScienceOn
2 M. Kawamoto, K. Matsuoka, et al., "A method of blind separation for convolved non-stationary signals," Neuro-computing, vol.22, pp.157-171, 1998.   DOI   ScienceOn
3 L. Parra, C. Spence, "Convolutive blind separation of non-stationary sources," IEEE Trans. Speech Audio Process., vol.8, no.3, pp.320-327, 2000.   DOI   ScienceOn
4 E. Weinstein, M. Feder, A.V. Oppenheim, "Multichannel signal separation by decorrelation," IEEE Trans. Speech Audio Process., vol.1, no.4, pp.405-413, 1993.   DOI
5 D. Yellin, E. Weinstein, "Multichannel signal separation: methods and analysis," IEEE Trans. Signal Process., vol.44, no.1, pp.106-118, 1996.   DOI   ScienceOn
6 S. Minami, T. Kawasaki, "A Double Talk Detection Method for an Echo Canceller," ICC'85, pp.1492-1497, 1985.
7 Hua Ye, Bo-Xiu Wu, "A New Double-Talk Detection Algorithm Based on the Orthogonality Theorem," IEEE Trans. on Comm., vol.39, no.11, pp.1542-1545, Nov. 1991.   DOI   ScienceOn
8 C. Jutten and J. Herault, "Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture," Signal Processing, vol.24, no.1, pp.1-10, Jul. 1991.   DOI   ScienceOn
9 Wenbin Hsu, Frank Chui, David A. Hodges, "An Acoustic Echo Canceler," IEEE J. of Solid-state Circuits, vol.24, no.6, pp.1639-1646, Dec. 1989.   DOI   ScienceOn
10 P. Comon, "Independent component analysis, A new concept," Signal Processing, vol.36, pp.287-314, 1994.   DOI   ScienceOn
11 Bell A. J., Sejnowski T. J., "An Information Maximization Approach to Blind Separation and Blind Deconvolution," Neural Computation, vol.7, pp.1129-1159, 1995.   DOI   ScienceOn
12 Kari Torkkola, "Blind Separation of Convolved Sources Based on Information Maximization," Neural Networks for Signal Processing, IEEE Signal Processing Society Workshop, 1996.