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16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
A Robust Method for the Vietnamese Handwritten and Speech Recognition
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Vu Hai Quan, University of HoChiMinh
Pham Nam Trung, University of HoChiMinh
Nguyen Duc Hoang Ha, University of HoChiMinh
In this paper,we propose an approach based on HMM and linguistics for the Vietnamese recognition problem, including handwritten and speech recognition.The main contribution is that our method could be used to model all Vietnamese isolated words by a small number of HMMs. The method is not only used for handwritten recognition but also for speech recognition.Furthermore,it could be integrated with language models to improve the accuracy. Experimental results show that our approach is robust and considerable.
Citation:
Vu Hai Quan, Pham Nam Trung, Nguyen Duc Hoang Ha, "A Robust Method for the Vietnamese Handwritten and Speech Recognition," icpr, vol. 3, pp.30732, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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