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Hybrid neural predictor/stochastic trajectory models for Chinese speech recognition

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4 Author(s)
Huang Xinye ; Dept. of Radio Eng., Southeast Univ., Nanjing, China ; Ma Xiaohui ; Fu Yuqing ; Lu Jiren

Based on stochastic trajectory models (STMs) and neural networks, a new approach to Chinese speech recognition: the hybrid neural predictor/stochastic trajectory model (STM/NP), is proposed. STM/NP makes full use of the advantages of STMs and the characteristics of the NN. The experimental results demonstrate the efficiency of the STM/NP approach

Published in:

Electronics Letters  (Volume:35 ,  Issue: 10 )