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A geometrically constrained multimodal approach for convolutive blind source separation

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conference contribution
posted on 10.12.2009, 10:08 by Saeid Sanei, Syed M.R. Naqvi, Jonathon Chambers, Yulia Hicks
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

History

School

  • Mechanical, Electrical and Manufacturing Engineering

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

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2007

Notes

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.

ISBN

1424407273

ISSN

1520-6149

Language

en