Echo cancellation: the generalized likelihood ratio test for double-talk versus channel change
IEEE Transactions on Signal Processing
A fast robust recursive Least-Squares algorithm
IEEE Transactions on Signal Processing
Double-Talk-Robust Prediction Error Identification Algorithms for Acoustic Echo Cancellation
IEEE Transactions on Signal Processing
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This paper casts the problem of canceling acoustic echoes during a double-talk event as a blind signal separation problem. Principles of independent component analysis are applied to derive algorithms for updating the echo cancellation filter during double-talk, and the near-end signal is separated out from the microphone signal. This approach simplifies the the structure of acoustic echo cancelers by avoiding the need for double-talk detection. The same updating algorithm is applied under all conditions. The the proposed approach is compared with existing methods on live data recorded on a speaker phone.