A method to combine HMM and BPNN on speech recognition

被引：0
|
作者：
Huang, Wan-Chen [1 ]
机构：
[1] Wu Feng Inst Technol, Dept Mech Engn, Chiayi, Taiwan
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
HMM; BPNN; viterbi algorithm; recognition rate; HMNM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Applied the concept of phonic state in Hidden Markov Model to construct the input matrix in BP Neural Network as modeling and recognition, which can decrease their dimension (almost to 1/3 similar to 1/5) under the same recognition rate. On the one hand, it can save much of memory storage space; on the other hand, it would get more efficiency in calculation. In sum, it has good effects in the application need of real time response situation.
引用
收藏
页码：1899 / 1902
页数：4
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