Detail publikace
Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
MAŠEK, P. RŮŽIČKA, M.
Český název
Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
Anglický název
Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
The paper deals with human-machine interface for mobile robot based on enhancement speech recognition system. The speech recognition system can be based on both the various commonly used commercial or open sources. Instead of developing a complete solution from scratch, the third-party system was used. Despite the fact, such solution shows useful results, there are some limitations of uses this kind of speech recognition engine for communication with autonomous robot (e.g. low success rate in recognition of specific words, wrong interpretation in noisy environment, etc.). We present a solution in which the well known Bayesian approach is used for enhance the results and there are described experimental result obtained on autonomous mobile robot in real environment.
Český abstrakt
The paper deals with human-machine interface for mobile robot based on enhancement speech recognition system. The speech recognition system can be based on both the various commonly used commercial or open sources. Instead of developing a complete solution from scratch, the third-party system was used. Despite the fact, such solution shows useful results, there are some limitations of uses this kind of speech recognition engine for communication with autonomous robot (e.g. low success rate in recognition of specific words, wrong interpretation in noisy environment, etc.). We present a solution in which the well known Bayesian approach is used for enhance the results and there are described experimental result obtained on autonomous mobile robot in real environment.
Anglický abstrakt
The paper deals with human-machine interface for mobile robot based on enhancement speech recognition system. The speech recognition system can be based on both the various commonly used commercial or open sources. Instead of developing a complete solution from scratch, the third-party system was used. Despite the fact, such solution shows useful results, there are some limitations of uses this kind of speech recognition engine for communication with autonomous robot (e.g. low success rate in recognition of specific words, wrong interpretation in noisy environment, etc.). We present a solution in which the well known Bayesian approach is used for enhance the results and there are described experimental result obtained on autonomous mobile robot in real environment.
Klíčová slova česky
Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot.
Klíčová slova anglicky
Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot.
Rok RIV
2014
Vydáno
25.06.2014
Nakladatel
Brno University of Technology, Faculty of Mechanical Engineering, Institute of Automation and Computer Science
Místo
Brno, Czech Republic
ISBN
978-80-214-4984-8
ISSN
1803-3814
Kniha
MENDEL 2014, 20th International Conference on Soft Computing.
Ročník
2014
Číslo
20
Číslo edice
1
Strany od–do
249–252
Počet stran
4
BIBTEX
@inproceedings{BUT108363,
author="Petr {Mašek} and Michal {Růžička},
title="Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition",
booktitle="MENDEL 2014, 20th International Conference on Soft Computing.",
year="2014",
volume="2014",
number="20",
month="June",
pages="249--252",
publisher="Brno University of Technology, Faculty of Mechanical Engineering, Institute of Automation and Computer Science",
address="Brno, Czech Republic",
isbn="978-80-214-4984-8",
issn="1803-3814"
}