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

This paper deals with a delay problem in the endpoint detection of double-talk detection algorithm in the acoustic echo canceller. In case that past power is much bigger than current power like at the end of double-talking period, the power estimated using forgetting factor decreases slowly to cause the delay problem in die endpoint detection. In this paper two methods are proposed to solve this problem. One is replacing the current power periodically by a new average power, and die 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 conventional :method in the endpoint detection of double-talking periods without increasing the computational burden much more.