In this paper, we propose an approach based on hidden Markov model (HMM) and linguistics for the Vietnamese recognition problem, including handwritten word and speech recognition. The main contribution is that our method can be used to model all Vietnamese isolated words by a small number of HMMs. The method is not only used for handwritten word 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 effective.
['Vu Hai Quan', 'Pham Nam Trung', 'Nguyen Duc Hoang Ha']
A robust method for the Vietnamese handwritten and speech recognition