Detail publikace

Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition

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

1

ISSN

1803-3814

Periodikum

Mendel Journal series

Ročník

2014

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"
}