• DocumentCode
    3124682
  • Title

    mENUNCIATE: Development of a computer-aided pronunciation training system on a cross-platform framework for mobile, speech-enabled application development

  • Author

    Pengfei Liu ; Ka-Wa Yuen ; Wai-Kim Leung ; Meng, Hsiang-Yun

  • Author_Institution
    Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2012
  • fDate
    5-8 Dec. 2012
  • Firstpage
    170
  • Lastpage
    173
  • Abstract
    This paper presents our ongoing research in the field of speech-enabled multimodal, mobile application development. We have developed a multimodal framework that enables cross-platform development using open standards-based HTML, CSS and JavaScript. This framework brings high extendibility through plugin-based architecture and provides scalable REST-based speech services in the cloud to support large amounts of requests from mobile devices. This paper describes the architecture and implementation of the framework, and the development of a mobile computer-aided pronunciation training application for Chinese learners of English, named mENUNCIATE, based on this framework. We also report a preliminary performance evaluation on mENUNCIATE.
  • Keywords
    Java; computer aided instruction; hypermedia markup languages; mobile computing; speech processing; CSS; JavaScript; cross-platform framework; mENUNCIATE; mobile application development; mobile computer-aided pronunciation training; open standard-based HTML; plugin-based architecture; scalable REST-based speech service; speech-enabled multimodal application; Computer architecture; Mobile communication; Performance evaluation; Servers; Smart phones; Speech; CAPT; cross-platform; mobile application; multimodal framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Spoken Language Processing (ISCSLP), 2012 8th International Symposium on
  • Conference_Location
    Kowloon
  • Print_ISBN
    978-1-4673-2506-6
  • Electronic_ISBN
    978-1-4673-2505-9
  • Type

    conf

  • DOI
    10.1109/ISCSLP.2012.6423507
  • Filename
    6423507