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Isolated Mandarin base-syllable recognition based upon the segmental probability model

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5 Author(s)
Ren-Yuan Lyu ; Dept. of Electr. Eng., Chang Gung Univ., Taoyuan, Taiwan ; I-Chung Hong ; Jia-Lin Shen ; Ming-Yu Lee
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A segmental probability model (SPM) is proposed for fast and accurate recognition of the highly confusing isolated Mandarin base-syllables by deleting the state transition probabilities of continuous density hidden Markov models (CHMM), abandoning the dynamic programming process, letting the states equally segment the base-syllables deterministically, and using several special approaches to improve the accuracy and speed. This is achieved by considering the special characteristics of the target vocabulary

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Speech and Audio Processing, IEEE Transactions on  (Volume:6 ,  Issue: 3 )