A decision-making framework for acoustic echo cancellation

We present a decision-making framework for the problem of echo control. This framework enables a unified approach to detecting the changes in the echo path, adaptation, and double-talk detection. Using this framework, we provide new analytical results on consistency and convergence of the echo control algorithm. We also address a new approach, based on the generalized likelihood ratio test, toward joint detection of double-talk and echo path change.