DocumentCode :
272789
Title :
Speech recognition via STT API for autonomous mobile robot
Author :
MasÌŒek, Petr ; RuÌŠzÌŒicÌŒka, Michal
Author_Institution :
Fac. of Mech. Eng., Brno Univ. of Technol., Brno, Czech Republic
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
594
Lastpage :
599
Abstract :
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.
Keywords :
application program interfaces; human-robot interaction; mobile robots; speech recognition; Bayesian learning approach; STT API; autonomous mobile robot; command recognition; human-machine interface; speech recognition; speech to text application programming interface; Acceleration; Batteries; Databases; Mobile robots; Noise measurement; Probability; Speech recognition; Bayesian filter; Human-machine interface; Mobile robot; Probabilistic learning; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics - Mechatronika (ME), 2014 16th International Conference on
Conference_Location :
Brno
Print_ISBN :
978-80-214-4817-9
Type :
conf
DOI :
10.1109/MECHATRONIKA.2014.7018326
Filename :
7018326
Link To Document :
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