• DocumentCode
    272789
  • Title

    Speech recognition via STT API for autonomous mobile robot

  • Author

    MasÌŒek, Petr ; RuÌŠzÌŒicÌŒka, Michal

  • Author_Institution
    Fac. of Mech. Eng., Brno Univ. of Technol., Brno, Czech Republic
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    594
  • Lastpage
    599
  • Abstract
    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.
  • Keywords
    application program interfaces; human-robot interaction; mobile robots; speech recognition; Bayesian learning approach; STT API; autonomous mobile robot; command recognition; human-machine interface; speech recognition; speech to text application programming interface; Acceleration; Batteries; Databases; Mobile robots; Noise measurement; Probability; Speech recognition; Bayesian filter; Human-machine interface; Mobile robot; Probabilistic learning; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics - Mechatronika (ME), 2014 16th International Conference on
  • Conference_Location
    Brno
  • Print_ISBN
    978-80-214-4817-9
  • Type

    conf

  • DOI
    10.1109/MECHATRONIKA.2014.7018326
  • Filename
    7018326