MULTI-CHANNEL ACOUSTIC ECHO CANCELLATION BASED ON RESIDUAL ECHO ENHANCEMENT WITH EFFECTIVE CHANNEL

The residual echo enhancement (REE) procedure proposed in [1] is able to improve the acoustic echo cancellation (AEC) performance in a very noisy acoustic mixing environment by utilizing the natural learning ability of the least-mean square (LMS) algorithm without precise estimation of the signal statistics. We demonstrate in this paper that the technique can also be applied effectively in a multichannel AEC (MCAEC) setting to indirectly assist in the recovery of lost AEC performance due to the non-uniqueness problem. In addition, we incorporate other techniques to further boost the REE-based MCAEC performance. One of the techniques is a new channel decorrelation procedure based on resampling that directly alleviates the non-uniqueness problem while introducing minimal distortion to signal quality and statistics.

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