Performance improvement of double-talk detection algorithm in the acoustic echo canceller

This paper deals with a delay problem in the endpoint detection of the double-talk detection algorithm in the acoustic echo canceller. In the case that past power is much larger than current power such as at the end of a double-talking period, the power estimated using the forgetting factor decreases slowly to cause the delay problem in the endpoint detection. Two methods are proposed to solve this problem. One is replacing the current power periodically by a new average power, and the other is removing the past power term in a recursive equation or replacing it by other values. The simulation results show that proposed methods outperform the conventional method in the endpoint detection of double-talking periods without. increasing the computational burden much