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 [BibTeX] [Marc21]
Information Fusion and Person Verification Using Speech & Face Information
Type of publication: Idiap-RR
Citation: sanders-rr-02-33
Number: Idiap-RR-33-2002
Year: 2002
Month: 9
Institution: IDIAP
Abstract: This report provides an overview of important concepts in the field of information fusion, followed by a review of literature pertaining to audio-visual person identification & verification. Several recent adaptive and non-adaptive techniques for reaching the verification decision (i.e., to accept or reject the claimant,',','), based on audio and visual information, are evaluated in clean and noisy conditions on a common database using a text-independent setup. It is shown that in clean conditions all the non-adaptive approaches provide similar performance; in noisy conditions they exhibit deterioration in their performance. It is also shown that current adaptive approaches are either inadequate or utilize restrictive assumptions. A new category of classifiers is then introduced, where the decision surface is fixed but constructed to take into account the effects of noisy conditions, providing a good trade-off between performance in clean and noisy conditions.
Userfields: ipdmembership={learning},
Projects Idiap
Authors Sanderson, Conrad
Paliwal, Kuldip K.
Crossref by sanders-icassp03
Added by: [UNK]
Total mark: 0
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