Double talk detection in adaptive echo canceller using the fuzzy logic

This paper proposes a new double talk detection algorithm which is based on fuzzy theory for use in the adaptive echo canceller of a telecommunication system. In this method, the two inputs of the fuzzy inference for detecting double talk condition are used. One input is the cross-correlation coefficient between the error signal and the primary signal which is the summed signal of the real echo signal and the near-end signal. The other is the cross-correlation coefficient between the estimation error signal and the primary signal. It is confirmed by computer simulation that this fuzzy double talk detector is able to track echo path variation accurately during the double talk