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Integrated person identification using voice and facial features

Chibelushi, C.C. and Mason, J.S.D. and Deravi, F. (1997) Integrated person identification using voice and facial features. In: IEE Colloquium on Image Processing for Security Applications, 10 March 1997, London, UK.

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Abstract or description

Real-world automatic person recognition requires a consistently high recognition accuracy which is difficult to attain using a single recognition modality. This paper addresses the issue of person identification accuracy resulting from the combination of voice and outer lip-margin features. An assessment of feature fusion - based on audio-visual feature vector concatenation, principal component analysis, and linear discriminant analysis - is conducted. The paper shows that outer lip margins carry speaker identity cues. It is also shown that the joint use of voice and lip-margin features is equivalent to an effective increase in signal-to-noise ratio of the audio signal. Simple audio-visual feature vector concatenation is shown to be an effective method for feature combination, and linear discriminant analysis is shown to possess the capability of packing discriminating audio-visual information into fewer coeficients than principal component analysis.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Depositing User: Claude CHIBELUSHI
Date Deposited: 12 May 2013 20:37
Last Modified: 12 May 2013 20:37
URI: http://eprints.staffs.ac.uk/id/eprint/1118

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