Thumbnail
Access Restriction
Subscribed

Author Harvey, R. ♦ Matthews, I. ♦ Bangham, J.A. ♦ Cox, S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1997
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Hidden Markov models ♦ Feature extraction ♦ Lips ♦ Mouth ♦ Machine vision ♦ Image sequences ♦ Morphology ♦ Speech recognition ♦ Active shape model ♦ Parametric statistics
Abstract Systems that attempt to recover the spoken word from image sequences usually require complicated models of the mouth and its motions. Here we describe a new approach based on a fast mathematical morphology transform called the sieve. We form statistics of scale measurements in one and two dimensions and these are used as a feature vector for standard Hidden Markov Models (HMMs).
Description Author affiliation: Sch. of Inf. Syst., East Anglia Univ., Norwich, UK (Harvey, R.)
ISBN 0818678224
ISSN 10636919
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1997-06-17
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 838.98 kB
Page Count 6
Starting Page 582
Ending Page 587


Source: IEEE Xplore Digital Library