University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A multimodal approach for frequency domain independent component analysis with geometrically-based initialization

Naqvi, SM, Zhang, Y, Tsalaile, T, Chambers, JA and Sanei, S (2008) A multimodal approach for frequency domain independent component analysis with geometrically-based initialization European Signal Processing Conference.

[img] PDF
17.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (126kB)
[img] PDF (licence)
SRI_deposit_agreement.pdf
Restricted to Repository staff only

Download (33kB)

Abstract

A novel multimodal approach for independent component analysis (ICA) of complex valued frequency domain signals is presented which utilizes video information to provide geometrical description of both the speakers and the microphones. This geometric information, the visual aspect, is incorporated into the initialization of the complex ICA algorithm for each frequency bin, as such, the method is multimodal since two signal modalities, speech and video, are exploited. The separation results show a significant improvement over traditional frequency domain convolutive blind source separation (BSS) systems. Importantly, the inherent permutation problem in the frequency domain BSS (complex valued signals) with the improvement in the rate of convergence, for static sources, is shown to be solved by simulation results at the level of each frequency bin. We also highlight that certain fixed point algorithms proposed by Hyvärinen et. al., or their constrained versions, are not valid for complex valued signals.

Item Type: Article
Authors :
AuthorsEmailORCID
Naqvi, SMUNSPECIFIEDUNSPECIFIED
Zhang, YUNSPECIFIEDUNSPECIFIED
Tsalaile, TUNSPECIFIEDUNSPECIFIED
Chambers, JAUNSPECIFIEDUNSPECIFIED
Sanei, SUNSPECIFIEDUNSPECIFIED
Date : 2008
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:13
Last Modified : 28 Mar 2017 14:13
URI: http://epubs.surrey.ac.uk/id/eprint/742635

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800