In this paper, we present two different double-talk detection schemes for Acoustic Echo Cancellation (AEC). First, we present a novel normalized detection statistic based on the cross-correlation coefficient between the microphone signal and the cancellation error. The decision statistic is designed in such a way that it meets the needs of an optimal double-talk detector. We also show that the proposed detection statistic converges to the recently proposed normalized cross-correlation based double-talk detector, the best known cross-correlation based detector. Next, we present a new hybrid double-talk detection scheme based on a cross-correlation coefficient and two signal detectors. The hybrid algorithm not only detects double-talk but also detects and tracks any echo-path variations efficiently. We compare our results with other cross-correlation based double-talk detectors to show their effectiveness.
M. A. Iqbal et al., "Normalized Double-Talk Detection Based on Microphone and AEC Error Cross-correlation," Proceedings of the IEEE International Conference on Multimedia and Expo, 2007, Institute of Electrical and Electronics Engineers (IEEE), Jul 2007.
The definitive version is available at https://doi.org/10.1109/ICME.2007.4284661
IEEE International Conference on Multimedia and Expo, 2007
Electrical and Computer Engineering
Keywords and Phrases
Acoustic Noise; Acoustic Signal Processing; Echo Suppression; Microphones
Article - Conference proceedings
© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jul 2007