Significance-aware Hammerstein group models for nonlinear acoustic echo cancellation

Hofmann C, Hümmer C, 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: 5934-5938

Article Number: 6854742

Event location: Florence IT

ISBN: 978-1-4799-2892-7

DOI: 10.1109/ICASSP.2014.6854742

Abstract

In this work, a novel approach for nonlinear acoustic echo cancellation is proposed. The main innovative idea of the proposed method is to model only the small region of the echo path around the direct path by a group of parallel Hammerstein models, to estimate a nonlinear preprocessor by correlations between the linear kernels of the Hammerstein submodels, and to describe the remaining echo path by a simple Hammerstein model with the preprocessor determined in the aforementioned way. While the computational complexity of such a system increases only slightly in comparison to a linear echo canceller, experiments with speech recordings from a smartphone in different environments confirm a significantly increased echo cancellation performance. © 2014 IEEE.

Authors with CRIS profile

How to cite

APA:

Hofmann, C., Hümmer, C., & Kellermann, W. (2014). Significance-aware Hammerstein group models for nonlinear acoustic echo cancellation. In Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 5934-5938). Florence, IT: Institute of Electrical and Electronics Engineers Inc..

MLA:

Hofmann, Christian, Christian Hümmer, and Walter Kellermann. "Significance-aware Hammerstein group models 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. 5934-5938.

BibTeX: Download