'Shadow BSS' for blind source separation in rapidly time-varying acoustic scenes

  • Authors:

  • S. Wehr;A. Lombard;H. Buchner;W. Kellermann

  • Affiliations:

  • University Erlangen-Nuremberg, Multimedia Communications and Signal Processing, Erlangen, Germany;University Erlangen-Nuremberg, Multimedia Communications and Signal Processing, Erlangen, Germany;Deutsche Telekom Laboratories, Technical University Berlin, Berlin, Germany;University Erlangen-Nuremberg, Multimedia Communications and Signal Processing, Erlangen, Germany

  • Venue:
  • ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
  • Year:
  • 2007

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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.