Paper Info
Title
Lip tracking using particle filter and geometric model for visual speech recognition
Abstract
The automatic lip-reading is a technology which helps understanding messages exchanged in the case of a noisy environment or of elderly hearing impairment. To carry out this system, we need to implement three subsystems. There is a locating and tracking lips system, labial descriptors extraction system and a classification and speech recognition system. In this work, we present a spatio-temporal approach to track and characterize lip movements for the automatic recognition of visemes of the French language. First, we segment lips using the color information and a geometric model of lips. Then, we apply a particle filter to track lip movements. Finally, we propose to extract and classify the visual informations to recognize the pronounced viseme. This approach is applied with multiple speakers in natural conditions.
Year
Venue
Keywords
2014
2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)
Lip Localization,Geometric Lip Model,Lip Tracking,Lip Descriptors Extraction,Viseme Classification and Recognition
Field
DocType
ISBN
Computer vision,Computer science,Viseme,Geometric modeling,Particle filter,Speech recognition,Artificial intelligence,Lip tracking
Conference
978-1-4673-9232-7
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Islem Jarraya131.05
Salah Werda2252.85
Walid Mahdi311625.49