Application of the leaky extended LMS (XLMS) algorithm in stereophonic acoustic echo cancellation

IEEE Trans. Audio Speech Lang. Process.

2006

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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.

Section: A Mmax Performance Measurementioning

confidence: 99%

“…Tap-indices are then updated using (10). Simulation results for the XM-NLMS algorithm are shown in Fig.…”

Section: A Xm-nlms Algorithmmentioning

confidence: 99%

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confidence: 99%

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Stereophonic acoustic echo cancellation employing selective-tap adaptive algorithms

IEEE Trans. Audio Speech Lang. Process.

2006

Self Cite

“…The use of nonlinear (NL) distortion has been proposed to solve this problem [1]. Other approaches include the use of spectrally shaped random noise [4] and leaky normalized leastmean squares (NLMS) [5] with the common aim of reducing interchannel correlation without affecting the speech quality and stereophonic perception.…”

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confidence: 99%

Selective-tap adaptive algorithms in the solution of the nonuniqueness problem for stereophonic acoustic echo cancellation

IEEE Signal Process. Lett.

2005

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Abstract-We investigate stereophonic acoustic echo cancellation in which solutions for the system can be nonunique and propose the use of selective-tap adaptive filters to address this problem. The main concept is to employ tap selection to optimize jointly for minimum interchannel coherence and maximum -norm of the subselected tap-input vectors. The exclusive maximum (XM) tap-selection approach is proposed and applied to normalized least-mean squares (NLMS) and recursive least-squares (RLS) algorithm. We propose an approach for solving the nonuniqueness problem employing XM tap selection in combination with a nonlinear preprocessor. Simulation results show a significant improvement in convergence rate compared with existing techniques.Index Terms-Adaptive filtering, selective-tap, stereophonic acoustic echo cancellation.

“…This is known as the misalignment problem. Several approaches including [2], which uses a non-linear preprocessor (NL), and [3] solve these problems with the common aim of achieving interchannel decorrelation without affecting speech quality and stereophonic perception.…”

Section: Introductionmentioning

confidence: 99%

A Family of Selective-Tap Algorithms for Stereo Acoustic Echo Cancellation

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.

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The use of adaptive lters employing tap-selection for stereophonic acoustic echo cancellation is investigated. We propose to employ subsampling of the tap-input vector, that is intrinsic to partial update schemes, to improve the conditioning of the tap-input autocorrelation matrix hence improving convergence. We investigate the effect of MMax tap-selection on the convergence rate for the single channel case by proposing a new measure which is then used as an optimization parameter in the development of our tapselection scheme in the two channel case. The resultant exclusive maximum tap-selection is then applied to two channel NLMS, AP and RLS algorithms. Although our main motivation is not the reduction of complexity of SAEC, the proposed tap-selection nevertheless brings signicant computation savings in additional to an improved rate of convergence over algorithms using only a nonlinear preprocessor.