Publication detail
Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
MAŠEK, P. RŮŽIČKA, M.
Czech title
Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
English title
Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
Type
conference paper
Language
en
Original abstract
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.
Czech abstract
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.
English abstract
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.
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
25.06.2014
Publisher
Brno University of Technology, Faculty of Mechanical Engineering, Institute of Automation and Computer Science
Location
Brno, Czech Republic
ISBN
978-80-214-4984-8
ISSN
1803-3814
Book
MENDEL 2014, 20th International Conference on Soft Computing.
Volume
2014
Number
20
Edition number
1
Pages from–to
249–252
Pages count
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"
}