Multiframe echo suppression based on orthogonal signal decompositions

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Huang H, Hofmann C, Kellermann W, Chen J, Benesty J
Publication year: 2016
Conference Proceedings Title: ITG Conference on Speech Communication
Pages range: 287-291
ISBN: 978-3-8007-4275-2
Language: English


Abstract

Acoustic echo arises due to the acoustic coupling between a loudspeaker
and a microphone in a full-duplex voice communication device. Recently,
the use of only acoustic echo suppression (AES) has been proposed
without precise echo path estimation. In this paper, we propose an
extension to the scheme of the multiframe Wiener filter. A
non-parametric variable step-size (NPVSS) normalized-least-mean-square
(NLMS) algorithm is used to estimate the echo signal in every STFT bin
and time frame. Based on the orthogonal signal decompositions, we
discuss how to form different echo suppression filters by optimizing
different cost functions. We cover the design of the Wiener, MVDR,
tradeoff, and LCMV filters. From a theoretical point of view, the Wiener
and tradeoff filters are identical to the MVDR filter up to a scaling
factor. Experimental results demonstrate that the developed filters can
efficiently attenuate the undesired echo and the estimate near-end
signal with little distortion.


FAU Authors / FAU Editors

Hofmann, Christian
Professur für Nachrichtentechnik
Huang, Hai
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


External institutions
Institut National de la Recherche Scientifique (INRS) de l'Université du Québec
Northwestern Polytechnical University / 西北工业大学 (NPU/NWPU)


How to cite

APA:
Huang, H., Hofmann, C., Kellermann, W., Chen, J., & Benesty, J. (2016). Multiframe echo suppression based on orthogonal signal decompositions. In ITG Conference on Speech Communication (pp. 287-291). Paderborn, DE.

MLA:
Huang, Hai, et al. "Multiframe echo suppression based on orthogonal signal decompositions." Proceedings of the ITG Conference on Speech Communication, Paderborn 2016. 287-291.

BibTeX: 

Last updated on 2018-17-10 at 06:23