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A geometrically constrained multimodal approach for convolutive blind source separation

Sanei, S, Naqvi, SM, Chambers, JA and Hicks, Y (2007) A geometrically constrained multimodal approach for convolutive blind source separation ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3.

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Abstract

A novel constrained multimodal approach for convolutive blind source separation is presented which incorporates video information related to geometrical position of both the speakers and the microphones, and the directionality of the speakers into the separation algorithm. The separation is performed in the frequency domain and the constraints are incorporated through a penalty function-based formulation. The separation results show a considerable improvement over traditional frequency domain convolutive BSS systems such as that developed by Parra and Spence. Importantly, the inherent permutation problem in the frequency domain BSS is potentially solved. © 2007 IEEE.

Item Type: Article
Authors :
AuthorsEmailORCID
Sanei, SUNSPECIFIEDUNSPECIFIED
Naqvi, SMUNSPECIFIEDUNSPECIFIED
Chambers, JAUNSPECIFIEDUNSPECIFIED
Hicks, YUNSPECIFIEDUNSPECIFIED
Date : 2007
Identification Number : https://doi.org/10.1109/ICASSP.2007.366843
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:14
Last Modified : 28 Mar 2017 14:14
URI: http://epubs.surrey.ac.uk/id/eprint/742995

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