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This paper investigates the use of Fisher-Rao linear discriminant analysis LDA as a means of visual feature extraction for hidden Markov model based automatic speechreading. For every video frame, a three-dimensional region of interest containing the speaker's mouth over a sequence of adjacent frames is lexicographically arranged into a data vector. Such v ectors are then projected onto the space of the most discriminant eigensequences", estimated by means of LDA o n a training set of imagedoi:10.1109/mmsp.1998.738938 dblp:conf/mmsp/PotamianosG98 fatcat:6a4ot7ebwzgwbfsslj65snpb2i