The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation

Hümmer C, Hofmann C, Maas R, Schwarz A, 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: 1315-1319

Article Number: 6853810

Event location: Florence IT

ISBN: 978-1-4799-2892-7

DOI: 10.1109/ICASSP.2014.6853810

Abstract

In this article, we introduce a novel approach for nonlinear acoustic echo cancellation based on a combination of particle filtering and evolutionary strategies. The nonlinear echo path is modeled as a state vector with non-Gaussian probability distribution and the relation to the observed signals and near-end interferences are captured by nonlinear functions. To estimate the probability distribution of the state vector and the model parameters, we apply the numerical sampling method of particle filtering, where each set of particles represents different realizations of the nonlinear echo path. While the classical particle-filter approach is unsuitable for system identification with large search spaces, we introduce a modified particle filter to select elitist particles based on long-term fitness measures and to create new particles based on the approximated probability distribution of the state vector. The validity of the novel approach is experimentally verified with real recordings for a nonlinear echo path stemming from a commercial smartphone. © 2014 IEEE.

Authors with CRIS profile

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

How to cite

APA:

Hümmer, C., Hofmann, C., Maas, R., Schwarz, A., & Kellermann, W. (2014). The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation. In Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 1315-1319). Florence, IT: Institute of Electrical and Electronics Engineers Inc..

MLA:

Hümmer, Christian, et al. "The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation." Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence Institute of Electrical and Electronics Engineers Inc., 2014. 1315-1319.

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