About: Speech Recognition via STT API for Autonomous Mobile Robot     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper deals with speech recognition system based on STT API (Speech To Text Application Programming Interface), which was mainly designed for mobile robots Human-Machine interface. This paper is based on preliminary work where one word commands were used. The solution presented in this paper uses the pre-learned database with Bayesian approach. This solution increases the success rate in command recognition against to use plain STT API itself. The major extension of previous work is recognition of whole sentences instead of one single word command. Experimental results with complete sentences are presented in this paper.
  • This paper deals with speech recognition system based on STT API (Speech To Text Application Programming Interface), which was mainly designed for mobile robots Human-Machine interface. This paper is based on preliminary work where one word commands were used. The solution presented in this paper uses the pre-learned database with Bayesian approach. This solution increases the success rate in command recognition against to use plain STT API itself. The major extension of previous work is recognition of whole sentences instead of one single word command. Experimental results with complete sentences are presented in this paper. (en)
  • This paper deals with speech recognition system based on STT API (Speech To Text Application Programming Interface), which was mainly designed for mobile robots Human-Machine interface. This paper is based on preliminary work where one word commands were used. The solution presented in this paper uses the pre-learned database with Bayesian approach. This solution increases the success rate in command recognition against to use plain STT API itself. The major extension of previous work is recognition of whole sentences instead of one single word command. Experimental results with complete sentences are presented in this paper. (cs)
Title
  • Speech Recognition via STT API for Autonomous Mobile Robot
  • Speech Recognition via STT API for Autonomous Mobile Robot (en)
  • Speech Recognition via STT API for Autonomous Mobile Robot (cs)
skos:prefLabel
  • Speech Recognition via STT API for Autonomous Mobile Robot
  • Speech Recognition via STT API for Autonomous Mobile Robot (en)
  • Speech Recognition via STT API for Autonomous Mobile Robot (cs)
skos:notation
  • RIV/00216305:26210/14:PU111642!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
  • 46601
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/14:PU111642
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
  • [28FCD8C38719]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • 16th International Conference on Mechatronics – Mechatronika 2014
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
  • Brno University of technology
https://schema.org/isbn
  • 978-80-214-4817-9
http://localhost/t...ganizacniJednotka
  • 26210
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software