Abstract
Acoustic echo cancellation algorithms need a reliable adaptation control to cope with changing systems and nonstationary signals. A variable stepsize is proposed that is based on the detection of speakers' activities, and involves estimates of system parameters and background noise. Real-time experiments demonstrate the workability in practice.

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