Robust double-talk detection in the acoustic echo canceller using normalized error signal power

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 echo canceller to improve the speech quality. In the double-talk detection algorithm with the cross-correlation coefficient, detection errors can occur in the initial convergence period of an adaptive filter or in the noisy environment since the correlation becomes high in those situations. In this paper, we propose a new double-talk detector based on a correlation method that uses the normalized error signal power to reduce the double-talk detection errors. The experimental results show the performance improvement of the acoustic echo canceller as well as the robustness of the proposed double-talk detector.