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

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Hümmer C, Hofmann C, Maas R, Schwarz A, Kellermann W
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2014
Pages range: 1315-1319
ISBN: 978-1-4799-2892-7
ISSN: 1520-6149
Language: English


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.


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
Schwarz, Andreas
Professur für Nachrichtentechnik


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.

BibTeX: 

Last updated on 2019-24-04 at 13:38