• DocumentCode
    2896851
  • Title

    Context-independent acoustic models for Thai speech recognition

  • Author

    Kasuriya, Sawit ; Kanokphara, Supphanat ; Thatphilhakkul, N. ; Cotsomrong, Patcharika ; Sunpethniyom, Treepop

  • Author_Institution
    Inf. Res. & Dev. Div., Nat. Electron. & Comput. Technol. Center, Bangkok, Thailand
  • Volume
    2
  • fYear
    2004
  • fDate
    26-29 Oct. 2004
  • Firstpage
    991
  • Abstract
    The paper investigates and constructs suitable acoustic models for Thai speech recognition. Many methods are presented, including single phone modeling, base phone modeling, and tone modeling. Context-independent models and gender-independent models are often used in acoustic modeling. Many modeling techniques are given from linguistic-phonetic knowledge of the Thai language. The word. recognition performance of each method is evaluated experimentally using word utterances as training and testing data. The experiments measure the word accuracy of each modeling method when a number of mixtures are varied. The best accuracy is 87.03% from the single phone models without tone modeling (31 models) and 82.03% from the base phone models with tone modeling on vowels (171 models).
  • Keywords
    acoustic signal processing; linguistics; speech processing; speech recognition; Thai speech recognition; base phone modeling; context-independent acoustic models; gender-independent models; linguistic-phonetic knowledge; single phone modeling; tone modeling; word accuracy; Acoustic measurements; Acoustic testing; Art; Context modeling; Databases; Natural languages; Performance evaluation; Power system modeling; Research and development; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8593-4
  • Type

    conf

  • DOI
    10.1109/ISCIT.2004.1413868
  • Filename
    1413868