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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F14%3APU109629%21RIV15-MSM-26210___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
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.
dcterms: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
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
skos:notation
RIV/00216305:26210/14:PU109629!RIV15-MSM-26210___
n5:aktivita
n13:S n13:I
n5:aktivity
I, S
n5:dodaniDat
n7:2015
n5:domaciTvurceVysledku
n19:2466864 n19:3451909
n5:druhVysledku
n12:D
n5:duvernostUdaju
n18:S
n5:entitaPredkladatele
n16:predkladatel
n5:idSjednocenehoVysledku
19995
n5:idVysledku
RIV/00216305:26210/14:PU109629
n5:jazykVysledku
n6:eng
n5:klicovaSlova
Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot.
n5:klicoveSlovo
n11:Mobile%20robot. n11:Speech%20recognition n11:Bayesian%20filter n11:Human-machine%20interface n11:Probabilistic%20learning
n5:kontrolniKodProRIV
[CD89C5916B78]
n5:mistoKonaniAkce
Brno University of Technology
n5:mistoVydani
Brno, Czech Republic
n5:nazevZdroje
MENDEL 2014, 20th International Conference on Soft Computing.
n5:obor
n20:IN
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
2
n5:rokUplatneniVysledku
n7:2014
n5:tvurceVysledku
Mašek, Petr Růžička, Michal
n5:typAkce
n15:WRD
n5:zahajeniAkce
2014-06-25+02:00
s:numberOfPages
4
n3:hasPublisher
Vysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automatizace a informatiky
n14:isbn
978-80-214-4984-8
n8:organizacniJednotka
26210