title: Comparing human and neural network lip readers.
abstract: Performance in identifying nine vowels from static images of a speaker's mouth was studied experimentally for neural networks and human subjects. Data obtained indicated that they had essentially the same rate of correct identifications overall and vowel by vowel. The estimate of the probability of correct identification and 95% confidence limits were determined for each of the nine vowels.
authors.affiliation: Johns Hopkins University, Baltimore, Maryland 21218.
authors.forename: B P
authors.initials: BP
authors.lastname: Yuhas
authors.forename: M H
authors.initials: MH
authors.lastname: Goldstein
mesh_terms: D005103:Expert Systems; D006801:Humans; D008085:Lipreading; D009415:Nerve Net; D010700:Phonetics