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- W2543087941 abstract "We present an Audio-visual person authentication system which extracts several novel ldquovisualized-speech-featuresrdquo (VSF) from the spoken-password and multiple face profiles using a simple user-interface and combine these features to deliver high performance and resilience against imposter attacks. The spoken password is converted to a string of images formed by several visualized speech features. A compressed form of these VSFs preserves speaker identity in a compact manner. Simulation results on an in-house 210-user AV-user-ID database collected with wide variations of users in real-life office environments demonstrate separable distributions of client and imposter scores (0% EER), while offering low storage and computational complexities compared to conventional AV user-recognition methods." @default.
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- W2543087941 date "2008-12-01" @default.
- W2543087941 modified "2023-10-05" @default.
- W2543087941 title "Audio-Visual Person Authentication with Multiple Visualized-Speech Features and Multiple Face Profiles" @default.
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- W2543087941 doi "https://doi.org/10.1109/icvgip.2008.106" @default.
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