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《Audio Engineering》 2004-06
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Study of self-learning and speaker-independent speech recognition based on neural networks

XU Xiu-Ping1, LI Zhu-Feng2(1. School of Information, Wuyi University, jiangmeng 529020, China; 2. Center of Physics Experiment, Wuyi University, Jiangmeng 529020, China)  
The study of self-learning and speaker-independent speech recognition based on neural networks is given. Firstly, the automatic verification method of speech recognition knowledge-LVV is introduced. Then the system principle diagram and automatic adjusting method of knowledge library are presented. The LEA decision method has been given so that grads methods and Newton methods can be effectively combined in neural networks learning. Experimental results are also shown.
【Fund】: 江门市科学研究基金资助(20030060);; 五邑大学科学研究基金资助(20020001).
【CateGory Index】: TN912.3
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