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ACOUSTIC ECHO CANCELLATION

Platform : DSP

IEEE Projects Years : 2006

This paper appears in: Audio, Speech, and Language Processing, IEEE Transactions on Issue Date: May 2006 AIM: To verify the adaptive filtering approach to reduce ISI for Echo cancellation ABSTRACT Stereophonic acoustic echo cancellation has generated much interest in recent years due to the nonuniqueness and misalignment problems that are caused by the strong interchannel signal coherence. In this paper, we introduce a novel adaptive filtering approach to reduce interchannel coherence which is based on a selective-tap updating procedure. This tap-selection technique is then applied to the normalized least-mean-square, affine projection and recursive least squares algorithms for stereophonic acoustic echo cancellation. Simulation results for the proposed algorithms have shown a significant improvement in convergence rate compared with existing techniques. LEARNING OBJECTIVE: To understand and compare the adaptive filtering approach and traditional filtering approach. INPUT: A Speech signal added with noise OUTPUT : Filtered speech signal via traditional filtering approach and adaptive filtering approach. APPLICATIONS: Speech Processing SOFTWARE TOOL USED: MATLAB 2007A

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