Publication detail
Speech Recognition via STT API for Autonomous Mobile Robot
MAŠEK, P. RŮŽIČKA, M.
Czech title
Speech Recognition via STT API for Autonomous Mobile Robot
English title
Speech Recognition via STT API for Autonomous Mobile Robot
Type
conference paper
Language
cs
Original 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.
Czech 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.
English 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 in Czech
Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot
Keywords in English
Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot
RIV year
2014
Released
03.12.2014
Publisher
Brno University of technology
ISBN
978-80-214-4816-2
ISSN
NEUVEDENO
Book
16th International Conference on Mechatronics – Mechatronika 2014
Edition number
1
Pages from–to
594–599
Pages count
6
BIBTEX
@inproceedings{BUT111114,
author="Petr {Mašek} and Michal {Růžička},
title="Speech Recognition via STT API for Autonomous Mobile Robot",
booktitle="16th International Conference on Mechatronics – Mechatronika 2014",
year="2014",
month="December",
pages="594--599",
publisher="Brno University of technology",
isbn="978-80-214-4816-2",
issn="NEUVEDENO"
}