‘Shadow BSS’ for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes

Conference contribution


Publication Details

Author(s): Wehr S, Lombard A, Buchner H, Kellermann W
Editor(s): Mike E. Davis, Christopher J. James, Samer A. Abdallah
Publisher: Springer-Verlag
Publishing place: Berlin, Heidelberg
Publication year: 2007
Pages range: 560-568
ISBN: 978-3-540-74494-8
Language: English


Abstract

This paper addresses the tracking capability of blind source separation
algorithms for rapidly time-varying sensor or source positions. Based on
a known algorithm for blind source separation, which also allows for
simultaneous localization of multiple active sources in reverberant
environments, the source separation performance will be investigated for
abrupt microphone array rotations representing the worst case.
After illustrating the deficiencies in source-tracking with the given
efficient implementation of the BSS algorithm, a method to ensure robust
source separation even with abrupt microphone array rotations is
proposed. Experimental results illustrate the efficiency of the proposed
concept.©2007 Springer


FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Wehr, S., Lombard, A., Buchner, H., & Kellermann, W. (2007). ‘Shadow BSS’ for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes. In Mike E. Davis, Christopher J. James, Samer A. Abdallah (Eds.), Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation (pp. 560-568). London, GB: Berlin, Heidelberg: Springer-Verlag.

MLA:
Wehr, Stefan, et al. "‘Shadow BSS’ for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes." Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation, London Ed. Mike E. Davis, Christopher J. James, Samer A. Abdallah, Berlin, Heidelberg: Springer-Verlag, 2007. 560-568.

BibTeX: 

Last updated on 2019-27-05 at 20:22