• DocumentCode
    1732707
  • Title

    A Mobile Learning System for learning Mandarin Pronunciation

  • Author

    Zhang, Long ; Wang, Jianhua ; Li, Haifeng

  • Author_Institution
    Coll. of Comput. Sci. & Inf. Eng., Harbin Normal Univ., Harbin, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    621
  • Lastpage
    624
  • Abstract
    Based on speech recognition technology and wireless communication technology, a novel mobile learning system for learning Mandarin pronunciation is built. It likes an excellent human teacher to help learners improve their pronunciation quality and has the following good features: intelligence, interaction, and convenience. After training the standard acoustic model, the system can recognize the learner´s speech and then calculate the accuracy rate of the pronunciation. Compared the practical pronunciation with the standard pronunciation, the system can accurately detect the defects and errors of the learner´s pronunciation, and locate its position and type. Combined the phonetics knowledge and expert knowledge, the system also can give a concrete pronunciation diagnosis, and make reasonable suggestions and correction methods. Finally, Using intelligent search techniques, adaptive training materials can be automatically generated and reinforcement learning will be performed.
  • Keywords
    distance learning; learning (artificial intelligence); mobile computing; speech recognition; Mandarin pronunciation learning; adaptive training materials; concrete pronunciation diagnosis; expert knowledge; intelligent search techniques; learner speech; mobile learning system; phonetics knowledge; pronunciation accuracy rate; reinforcement learning; speech recognition technology; standard acoustic model; wireless communication technology; Broadcasting; Computational modeling; Decoding; Force; Materials; Speech; Training; mandarin pronunciation evaluation; mobile learning; pronunciation diagnosis; speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182034
  • Filename
    6182034