David G. Stork
Calendar for HAL's Legacy events
Speechreading by Humans and Machines
David G. Stork is chief scientist at the Ricoh California
Research Center and head of its Machine Learning and Perception Group,
as well as consulting associate professor of electrical engineering
and visiting scholar in psychology at Stanford University. A graduate
of MIT and the University of Maryland, he has also been on the
faculties of Wellesley College, Swarthmore College, Clark University,
and Boston University. The breadth of his interests and contributions
is indicated by his academic affiliations over the years: physics,
mathematics, psychology, neuroscience, statistics, and electrical
engineering. His principal interests are pattern recognition by humans
and machines, and he has published numerous papers on these and
closely related subjects. He holds several patents and sits on the
editorial boards of several academic journals. He initiated and still
leads a project to develop computer speechreading (lipreading)
systems. He is coeditor of Speechreading by Humans and
Machines and coauthor of The Physics of Sound, Seeing the
Light: Optics in Nature, Photography, Color, Vision and
Holography, and the forthcoming Pattern Classification and
Scene Analysis (2nd ed.).
