• DocumentCode
    702722
  • Title

    Survey on Computer Aided Language Learning using automatic accent assessment techniques

  • Author

    Lohiya, Sneha V. ; Kamble, Milind V.

  • Author_Institution
    Electron. Dept., Vishwakarma Inst. of Technolgy, Pune, India
  • fYear
    2015
  • fDate
    8-10 Jan. 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The automatic identification of prosodic events such as pitch accent in English has long been a topic of interest to speech researchers. Applications like Computer Aided Language Learning (CALL) and Computer Assisted Pronunciation Training (CAPT) applications plays an important role in English Learning. We are discussing the different methods to build automatic accent assessment system in which we can convert non native accent to native one. With the use of these algorithms we can detect the pronunciation mismatches in English learning process.
  • Keywords
    computer based training; linguistics; natural languages; CALL; CAPT; English learning process; automatic accent assessment technique; automatic prosodic event identification; computer aided language learning; computer assisted pronunciation training; native accent; nonnative accent; pitch accent; pronunciation mismatch detection; Harmonic analysis; Hidden Markov models; Speech; Speech recognition; Speech synthesis; Training; Accent Assessment System; Accent Reduction; CALL; Pronunciation Mismatches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing (ICPC), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/PERVASIVE.2015.7087089
  • Filename
    7087089