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Title: A geometrically constrained multimodal approach for convolutive blind source separation
Authors: Sanei, Saeid
Naqvi, Syed M.
Chambers, Jonathon
Hicks, Yulia
Keywords: Frequency domain BSS
Geometrical constraints and multimodal separation
Issue Date: 2007
Publisher: © IEEE
Citation: SANEI, S....et al., 2007. A geometrically constrained multimodal approach for convolutive blind source separation. IN: IEEE International Conference on Acoustics, Speech and Signal Processing, (ICASSP 2007), Honolulu, HI, 15-20 April, pp. III-969 - III-972
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
Description: This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ICASSP.2007.366843
URI: https://dspace.lboro.ac.uk/2134/5641
ISBN: 1424407273
ISSN: 1520-6149
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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