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Adaptive algorithm based on multi-channel linear prediction is an effectivedereverberation method balancing well between the attenuation of the long-termreverberation and the dereverberated speech quality. However, the abrupt changeof the speech source position, usually caused by the shift of the speakers,forms an obstacle to the adaptive algorithm and makes it difficult to guaranteeboth the fast convergence speed and the optimal steady-state behavior. In thispaper, the RLS-based adaptive multi-channel linear prediction method isinvestigated and a time-varying forgetting factor based on the relativeweighted change of the adaptive filter coefficients is proposed to effectivelytracing the abrupt change of the target speaker position. The advantages of theproposed scheme are demonstrated in the simulations and experiments.

RLS-Based Adaptive Dereverberation Tracing Abrupt Position Change of Target Speaker