A DOMESTIC SPEECH RECOGNITION BASED ON HIDDEN MARKOV MODEL

被引：0
|
作者：
Tao, Jun [1 ]
Jiang, Xiaoxiao [2 ]
机构：
[1] Univ Minnesota, Dept Comp Sci, St Paul, MN 55455 USA
[2] Univ Minnesota, Dept Elect Engn, St Paul, MN USA
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS | 2011年
关键词：
speech recognition; MFCC; HMM;
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：
Based on HMM (Hidden Markov Model), this paper proposed a domestic speech recognizer, which can be used at home to do some simple tasks, such as turning on/off the light, opening/closing the doors and turning up/down air conditioners' temperature according to voice commands. Compared to traditional speech recognizers, it achieves a high recognition rate and low computational cost, which are important for the domestic application.
引用
收藏
页码：606 / 609
页数：4
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