Performance Improvement of Double-talk Detector Using Normalized Error Signal Power 


Vol. 32,  No. 5, pp. 478-486, May  2007


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  Abstract

Double-talk detection errors can result in either large residual echo or distorting the near-end talker's input speech. Thus accurate double-talk detection is an important problem in the acoustic echo canceller to improve the speech quality. In the double-talk detection algorithm using a cross-correlation coefficient, double-talk detection errors can occur in the initial convergence period of an adaptive filter or in noisy environment since the cross-correlation coefficient becomes large in such situations. In this paper, we propose a new double-talk detection algorithm based on the cross-correlation method using a normalized error signal power to reduce the double-talk detection errors. The experimental results have shown the performance improvement of an acoustic echo canceller as well as the noise-robustness of the proposed double-talk detector.

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  Cite this article

[IEEE Style]

W. Heo and K. Bae, "Performance Improvement of Double-talk Detector Using Normalized Error Signal Power," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 5, pp. 478-486, 2007. DOI: .

[ACM Style]

Won-chul Heo and Keun-sung Bae. 2007. Performance Improvement of Double-talk Detector Using Normalized Error Signal Power. The Journal of Korean Institute of Communications and Information Sciences, 32, 5, (2007), 478-486. DOI: .

[KICS Style]

Won-chul Heo and Keun-sung Bae, "Performance Improvement of Double-talk Detector Using Normalized Error Signal Power," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 5, pp. 478-486, 5. 2007.