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A New Method for Stereophonic Acoustic Echo Cancellation using a Clipping-based Structure for Adaptive Filtering

Stereophonic acoustic echo cancellation is one of the expanding areas in the field of the speech/multimedia communication systems. In a conventional stereophonic acoustic echo canceller, working in a stereo communication system, the existence of the strong cross-correlation between the input signals to the two channels has the problem of the low convergence speed of the weights of the adaptive filters. In this paper, an algorithm is proposed for reducing the cross correlation of the input signals to adaptive filters that utilizes a special technique for clipping the input signals. The proposed algorithm has the flexibility in the determination of the desirable clipping level with respect to the position of the human-speaker relative to the position of microphones in the transmission section. The simulation results show an improvement in the convergence behavior of the adaptive filters utilizing the proposed scheme.