A combined FDAF/WSAF algorithm for stereophonic acoustic echo cancellation

Adaptive Acoustic Echo Cancellation in stereophonic teleconferencing is a very demanding application. Characteristics are : very large number of coe cients, non-stationary input (speech), (slowly) time-varying systems to be identied, plus the speci c property that both stereo signals are intrinsically very correlated. Basic versions of stochastic gradient algorithms have di culties to meet these requirements. We show that, in a multichannel framework, only a combination of techniques can result in an algorithm which convergence is governed by a quasi-diagonal matrix. Simulations with data recorded in a conference room demonstrate the improvement in convergence of our algorithm compared to the LMS.