Detail publikace

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

MAŠEK, P. RŮŽIČKA, M.

Anglický název

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

Typ

Stať ve sborníku v databázi WoS či 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.

Klíčová slova anglicky

Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot.

Vydáno

2014-06-25

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

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",
  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"
}