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

页码：1899 / 1902

页数：4