A robust algorithm of double talk detection based on voice activity detection

Double talk detection is used in acoustic echo cancellation system to keep adaptive filter from divergence. This paper describes a new real-time double talk detention algorithm. Voice activity detection algorithm is used to detect the point end of each speech. And then the algorithm uses a logic unit to detected double talk of dialogue. The new algorithm presented in this paper has robustness against noise and can give a quick track when the channel is changed. The simulation show that the performance of this new algorithm work well compared with the DTD which based only on power ratio or cross-correlation.