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

Hümmer C, Hofmann C, Maas R, Kellermann W (2014)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 557-561

Article Number: 7032179

Event location: Atlanta, GA US

ISBN: 978-1-4799-7088-9

DOI: 10.1109/GlobalSIP.2014.7032179

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.

Authors with CRIS profile

Christian Hümmer Professur für Signalverarbeitung Christian Hofmann Professur für Signalverarbeitung Roland Maas Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Walter Kellermann Professur für 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.

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