DocumentCode
534267
Title
Research of Visual Features Detection and Tracking Methods about Audio-Visual Bimodal Speech Recognition
Author
Lirong, Wang ; Jing, Xu ; Yanyan, Zhao
Author_Institution
Dept. of Electron. & Inf., Univ. of ChangChun, ChangChun, China
Volume
1
fYear
2010
fDate
16-18 July 2010
Firstpage
204
Lastpage
207
Abstract
Audio-visual bimodal speech recognition can improve speech recognition rate, the lip detection, location and tracking is the key of bimodal speech recognition system. This article discusses the lip detection, location and tracking algorithms of bimodal speech recognition. Locate lips precisely by use geometric structure of face, relative position of lips and separable color information of color space. Using adaptive color filter to segment the lip contour effectively, and use PMM algorithm to locate and track lip precisely. Experimental results shown that the algorithms studied in this paper can detect, locate and track lips precisely, robustly and quickly.
Keywords
Markov processes; adaptive filters; audio-visual systems; face recognition; image colour analysis; image segmentation; optical filters; speech recognition; PMM algorithm; adaptive color filter; audio visual bimodal speech recognition; color space information; feature tracking method; geometric face structure; lip contour segmentation; lip detection; visual feature detection; Image color analysis; Image segmentation; Information filters; Lips; Mouth; Skin; Speech recognition; audio-visual bimodal; lip detection; recognition; tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location
Kunming
Print_ISBN
978-1-4244-7621-3
Electronic_ISBN
978-1-4244-7622-0
Type
conf
DOI
10.1109/IFITA.2010.283
Filename
5635120
Link To Document