The significance-aware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Hümmer C, Hofmann C, Maas R, Kellermann W
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2014
Pages range: 557-561
ISBN: 978-1-4799-7088-9
Language: English


Abstract


In this article, we introduce a novel approach for estimating the coefficients of a memoryless preprocessor for nonlinear acoustic echo cancellation (NL-AEC) using particle filtering. The acoustic echo path is modeled by a nonlinear-linear cascade of a memoryless preprocessor (to model the loudspeaker nonlinearities) preceding a linear finite impulse response filter (estimated by the normalized least mean square algorithm). For identifying the loudspeaker signal distortions, we follow the concept of significance-aware filtering by modeling the time-variant coefficients of the memoryless preprocessor and the direct-path part of the room impulse response vector as one state vector with non-Gaussian probability distribution. Due to the nonlinear relation between the state vector and the observation, we propose a computationally-efficient realization of the recently published elitist particle filter based on evolutionary strategies (EPFES), which evaluates realizations of the state vector based on long-term fitness measures. The experimental validation comprises predefined loudspeaker signal distortions as well as real recordings stemming from a commercial smartphone. In comparison to the well-known Hammerstein group model for NL-AEC, the computational complexity is reduced and the achievable system identification is improved for both scenarios.


FAU Authors / FAU Editors

Hofmann, Christian
Professur für Nachrichtentechnik
Hümmer, Christian
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Maas, Roland
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Hümmer, C., Hofmann, C., Maas, R., & Kellermann, W. (2014). The significance-aware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation. In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP) (pp. 557-561). Atlanta, GA, US: Institute of Electrical and Electronics Engineers Inc..

MLA:
Hümmer, Christian, et al. "The significance-aware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation." Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA Institute of Electrical and Electronics Engineers Inc., 2014. 557-561.

BibTeX: 

Last updated on 2019-03-06 at 07:08