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21 September 2001 Efficient approach to Chinese phoneme mouth-shape recognition
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Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001)
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiao Zhong, Shaoping Ma, and Bo Zhang "Efficient approach to Chinese phoneme mouth-shape recognition", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001);


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