Share Email Print
cover

Proceedings Paper

Efficient approach to Chinese phoneme mouth-shape recognition
Author(s): Xiao Zhong; Shaoping Ma; Bo Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Recent research results show the recognition rates of all kinds mouth-shape recognition systems are not high enough because of the improper feature selection and extraction for mouth-shape images and the false classification for those features on the boundary of different categories. This paper presents a statistical approach, called CPMSR, for mouth-shape recognition at the phoneme level. The feature-extracting module for this approach is based on research results of phonetics and personal investigation at a deaf school. The analyzing module employs Support Vector Machine (SVM) technique, which is a useful tool dealing with boundary points problem. With these improvements our experiment achieved the satisfactory recognition rate of over 90% for 5 vowels and 24 consonants' mouth-shapes.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441444
Show Author Affiliations
Xiao Zhong, Tsinghua Univ. (China)
Shaoping Ma, Tsinghua Univ. (China)
Bo Zhang, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition

© SPIE. Terms of Use
Back to Top