Nonlinear acoustic echo cancellation with fast converging memoryless preprocessor

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Stenger A, Kellermann W
Publisher: IEEE
Publishing place: Piscataway, NJ, United States
Publication year: 2000
Volume: 2
Pages range: 805-808


Abstract


Low-cost audio components in hands-free telephone applications call for nonlinear adaptive echo cancellation (AEC). It has been demonstrated that a cascade of a polynomial and an FIR filter can cancel such non-linear echoes. Another technique employs a hard-clipping curve with LMS adapted saturation parameter. For both cascaded systems we derive an LMS-type adaptation using a common framework, and propose stepsize normalizations for both approaches. To achieve sufficiently fast convergence for practical use, an RLS-type adaptation for the polynomial is derived and experimentally verified. Both techniques are compared using real hardware and speech signals, and show robust convergence behaviour and an echo reduction gain of up to 10 dB compared to a linear AEC.



FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Stenger, A., & Kellermann, W. (2000). Nonlinear acoustic echo cancellation with fast converging memoryless preprocessor. In Proceedings of the 2000 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing (pp. 805-808). Istanbul, TR: Piscataway, NJ, United States: IEEE.

MLA:
Stenger, Alexander, and Walter Kellermann. "Nonlinear acoustic echo cancellation with fast converging memoryless preprocessor." Proceedings of the 2000 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing, Istanbul Piscataway, NJ, United States: IEEE, 2000. 805-808.

BibTeX: 

Last updated on 2019-03-06 at 07:13