‘Shadow BSS’ for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes
Wehr S, Lombard A, Buchner H, Kellermann W (2007)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2007
Publisher: Springer-Verlag
City/Town: Berlin, Heidelberg
Pages Range: 560-568
Event location: London
ISBN: 978-3-540-74494-8
DOI: 10.1007/978-3-540-74494-8_70
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
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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.
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