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}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Crossref by |
sanders-icassp03 sanders-pattreclett-24-16-2003 |
| Added by: | [UNK] |
| Total mark: | 0 |
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