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Sound source separation via computational auditory scene analysis-enhanced beamforming

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4 Author(s)
Drake, L. ; Electr. & Comput. Eng. Dept., Northwestern Univ., Evanston, IL, USA ; Katsaggelos, A.K. ; Rutledge, J.C. ; Jun Zhang

The paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures. The efficacy of this approach is demonstrated by experimental results.

Published in:

Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002

Date of Conference:

4-6 Aug. 2002