• DocumentCode
    2539836
  • Title

    Tools evaluation for speech recognition based on domain ontologies over the

  • Author

    Platform, A. ; Orlando, M.P.F. ; Andrea, C.A.E. ; Marcela, F.I.D.

  • Author_Institution
    Grupo de Ing. Telematica, Univ. del Cauca, Popayan, Colombia
  • fYear
    2012
  • fDate
    16-18 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Speech recognition is a natural way of interaction between people and mobile devices. However, the inclusion of all vocabulary variants for a specific language may be tricky and expensive on processing terms; also voice training is not appreciated by most of users. Speech recognition matters have been addressed from several ways, even including artificial intelligence concepts as recent IPhone Siri system, but most of them are proprietary solutions. This paper explores other research alternatives related with the use of domain ontologies to restrict the vocabulary to the application context and assist the speech recognition process. Specifically, a first approach is given by evaluating the most important components involved on the speech recognition process based on domain ontologies, using open source tools over Android platform.
  • Keywords
    mobile computing; mobile handsets; ontologies (artificial intelligence); speech recognition; vocabulary; Android platform; IPhone Siri system; domain ontology; mobile device; open source tool; speech recognition; tools evaluation; vocabulary variant; voice training; Androids; Humanoid robots; Java; Media; OWL; Silicon; Speech recognition; Context grammar; domain ontology; mobile computing; speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Conference (COLCOM), 2012 IEEE Colombian
  • Conference_Location
    Cali
  • Print_ISBN
    978-1-4673-1267-7
  • Type

    conf

  • DOI
    10.1109/ColComCon.2012.6233653
  • Filename
    6233653