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On the Use of Speech and Face Information for Identity Verification (2004)
| Content Provider | CiteSeerX |
|---|---|
| Author | Sanderson, Conrad Paliwal, Kuldip K. |
| Abstract | This report first provides an review of important concepts in the field of information fusion, followed by a review of important milestones in audio-visual person identification and verification. Several recent adaptive and non-adaptive techniques for reaching the verification decision (i.e., to accept or reject the claimant), based on speech and face information, are then evaluated in clean and noisy audio conditions on a common database; it is shown that in clean conditions most of the non-adaptive approaches provide similar performance and in noisy conditions most exhibit a severe deterioration in 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 boundary is fixed but constructed to take into account how the distributions of opinions are likely to change due to noisy conditions; compared to a previously proposed adaptive approach, the proposed classifiers do not make a direct assumption about the type of noise that causes the mismatch between training and testing conditions. This report is an extended and revised version of [59]. |
| File Format | |
| Publisher Date | 2004-01-01 |
| Access Restriction | Open |
| Subject Keyword | Non-adaptive Technique Identity Verification Non-adaptive Approach Adaptive Approach Clean Condition Important Milestone Verification Decision Direct Assumption Current Adaptive Approach Decision Boundary Audio-visual Person Identification Severe Deterioration Similar Performance Utilize Restrictive Assumption Noisy Audio Condition New Category Noisy Condition Face Information Important Concept Information Fusion Common Database |
| Content Type | Text |
