Speech Recognition via STT API for Autonomous Mobile Robot

被引：0
|
作者：
Masek, Petr [1 ]
Ruzicka, Michal [1 ]
机构：
[1] Brno Univ Technol, Fac Mech Engn, Tech 2896 2, Brno 61669, Czech Republic
来源：
PROCEEDINGS OF THE 2014 16TH INTERNATIONAL CONFERENCE ON MECHATRONICS (MECHATRONIKA 2014) | 2014年
关键词：
Speech recognition; Bayesian filter; Probabilistic learning; Human-machine interface; Mobile robot;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper deals with speech recognition system based on STT API (Speech To Text Application Programming Interface), which was mainly designed for mobile robots Human-Machine interface. This paper is based on preliminary work where one word commands were used. The solution presented in this paper uses the pre-learned database with Bayesian approach. This solution increases the success rate in command recognition against to use plain STT API itself. The major extension of previous work is recognition of whole sentences instead of one single word command. Experimental results with complete sentences are presented in this paper.
引用
收藏
页码：594 / 599
页数：6
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