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Proceedings Paper

Efficient approach to Chinese phoneme mouth-shape recognition
Author(s): Xiao Zhong; Shaoping Ma; Bo Zhang
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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

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