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  • 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.
  • 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. (en)
Title
  • Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
  • Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition (en)
skos:prefLabel
  • Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition
  • Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition (en)
skos:notation
  • RIV/00216305:26210/14:PU109629!RIV15-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 19995
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/14:PU109629
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CD89C5916B78]
http://linked.open...v/mistoKonaniAkce
  • Brno University of Technology
http://linked.open...i/riv/mistoVydani
  • Brno, Czech Republic
http://linked.open...i/riv/nazevZdroje
  • MENDEL 2014, 20th International Conference on Soft Computing.
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Mašek, Petr
  • Růžička, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automatizace a informatiky
https://schema.org/isbn
  • 978-80-214-4984-8
http://localhost/t...ganizacniJednotka
  • 26210
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