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MAŠEK, P. RŮŽIČKA, M.
Originální název
Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
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.
Klíčová slova
Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot.
Autoři
MAŠEK, P.; RŮŽIČKA, M.
Rok RIV
2014
Vydáno
25. 6. 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
Kniha
MENDEL 2014, 20th International Conference on Soft Computing.
Edice
1
Číslo edice
ISSN
1803-3814
Periodikum
Mendel Journal series
Ročník
Číslo
20
Stát
Česká republika
Strany od
249
Strany do
252
Strany počet
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", series="1", journal="Mendel Journal series", volume="2014", number="20", 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" }