Paper details

 

  • Title: A Class of Sparseness-Controlled Algorithms for Echo Cancellation

  • Authors: Pradeep Loganathan, Andy W. H Khong and Patrick A. Naylor

  • Abstract: In the context of acoustic echo cancellation (AEC), it is shown that the level of sparseness in acoustic impulse responses can vary greatly in a mobile environment. When the response is strongly sparse, convergence of conventional approaches is poor. Drawing on techniques originally developed for network echo cancellation (NEC), we propose a class of AEC algorithms that can not only work well in both sparse and dispersive circumstances, but also adapt dynamically to the level of sparseness using a new sparseness-controlled approach. Simulation results, using white Gaussian noise (WGN) and speech input signals, show improved performance over existing methods. The proposed algorithms achieve these improvement with only a modest increase in computational complexity. with only a modest increase in computational complexity.

  • Status: Published in IEEE Transactions on Speech, Audio and Language Processing, vol. 17, no. 8, pp. 1591-1601, November 2009.

 

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