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ICA
2007
Springer

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

11 years 5 months ago
'Shadow BSS' for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes
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.
S. Wehr, Anthony Lombard, Herbert Buchner, Walter
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where ICA
Authors S. Wehr, Anthony Lombard, Herbert Buchner, Walter Kellermann
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