Speaker recognition using spatiotemporal cues

Image analysis – Applications – Personnel identification

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382115, 382170, G06K 900

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active

056257040

ABSTRACT:
A speaker recognition method uses visual image representations of mouth movements associated with the generation of an acoustic utterance by a speaker that is the person to be recognized. No acoustic data is used and normal ambient lighting conditions are used. The method generates a spatiotemporal gray-level function representative of the spatiotemporal inner month area confined between the lips during the utterance from which a cue-block is generated that isolates the essential information from which a feature vector for recognition is generated. The feature vector includes utterance duration, maximum lip-to-lip separation, and location in time, or speed of lip movement opening, speed of lip movement closure, and a spatiotemporal area measure representative of the area enclosed between the lips during the utterance and representative of the frontal area of the oral cavity during the utterance. Experimental data shows distinct clustering in feature space for different speakers.

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-Ashok Samal et al., "Automatic Recognition and Analysis of Human Faces and Facial Expressions: A Survey," Pattern Recognition, vol. 25, No. 1, pp. 65-77 (1992).
-Harry McGurk et al., "Hearing Lips and Seeing Voices," Nature, vol. 264, pp. 746-748 (Dec. 23/30, 1976).

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