Convolutive blind speech separation by decorrelation

Authors:
Fuxiang Wang;Jun Zhang
Affiliations:
School of Electronics and Information Engineering, Beihang University, Beijing, China;School of Electronics and Information Engineering, Beihang University, Beijing, China
Venue:
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Year:
2008

Citing 4
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Abstract

This paper proposes a new method for convolutive blind speech separation by decorrelation. First, by the design of a FIR separating filter and a whitening process of the observed data, the separation of convolutive speech mixtures are transformed to find a semi-unitary separating matrix. Then we estimate the separating semi-unitary matrix by the semi-unitary joint diagonalization for a set of correlation matrices. And a numerical algortihm for semi-unitary joint diagonalziation is proposed. Simulation results of speech separation demonstrate the effectiveness of the new approach.