DocumentCode
3441722
Title
Use of a statistical model for lip synthesis
Author
Curinga, Sergio
Author_Institution
Genoa Univ., Italy
Volume
3
fYear
1998
fDate
1998
Firstpage
539
Abstract
The goal of this work is to develop a statistical model of the lip movements for a specific speaker. The system is based on a Markov model trained on the visual part of the speech production. Such a model allows for an automatic generation of mouth shapes having fairly good natural looking dynamics. Applications might be both in image analysis and in image synthesis
Keywords
Markov processes; self-organising feature maps; speaker recognition; speech recognition; unsupervised learning; Markov model; automatic mouth shape generation; competitive networks; image analysis; image synthesis; lip movements; lip synthesis; natural looking dynamics; self organizing maps; specific speaker; speech production; statistical model; video sequence; Hidden Markov models; Lips; Mouth; Neural networks; Neurons; Production systems; Shape; Speech synthesis; Tracking; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 1998 IEEE International Conference on
Conference_Location
Lisboa
Print_ISBN
0-7803-5008-1
Type
conf
DOI
10.1109/ICECS.1998.814076
Filename
814076
Link To Document