Automatic Person Recognition by Using Acoustic and Geometric Features (1993)
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BibTeX
@MISC{Brunelli93automaticperson,
author = {R. Brunelli and D. Falavigna and L. Stringa and T. Poggio},
title = {Automatic Person Recognition by Using Acoustic and Geometric Features},
year = {1993}
}
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Abstract
The paper describes a multisensorial person identification system: visual and acoustic cues are used jointly for person identification. A simple approach, based on the fusion of the lists of scores produced independently by a speaker recognition system and a face recognition system, is presented. Experiments are reported which show that integration of visual and acoustic information enhances both performance and reliability of the separate systems. Finally two network architectures, based on radial basis function theory, are proposed to describe integration at different levels of abstraction. Keywords: face recognition, speaker identification, classification 1. Introduction This paper describes an automatic person recognition system 1 which uses both acoustic features, derived from the analysis of a given speech signal, and visual ones, related to distinctive parameters of the face of the person who uttered that speech signal. Visual and acoustic cues are used jointly for person id...
