A frequency domain doubletalk detector based on cross-correlation and extension to multi-channel case

Most teleconferencing conversations are conducted in the presence of Acoustic echoes. Typically an adaptive filter is used to cancel the echo, with a control device called the doubletalk detector which controls the adaptation. We derive a novel test statistic for the doubletalk detection based on the cross-correlation between the microphone signal and the cancellation error for the frequency domain adaptive algorithm. The main advantage of the proposed algorithm is its simplicity and computational efficiency. We compare our results with the normalized cross-correlation based doubletalk detector proposed. We also generalize the idea of the proposed doubletalk detector (single-channel) to the matrix case (multi-channel).