• DocumentCode
    527882
  • Title

    TBNR: the ThinkIT Broadcast News speech Recognition system

  • Author

    Sun, Yanqing ; Gao, Jie ; Zhou, Yu ; Pan, Fuping ; Zhao, Qingwei ; Yan, Yonghong

  • Author_Institution
    ThinkIT Speech Lab., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-27 Aug. 2010
  • Firstpage
    544
  • Lastpage
    548
  • Abstract
    This paper describes the TBNR system, which features at many state-of-the-art technologies of speech recognition, covering the decoder, acoustic modeling, speech recognition features, and etc. By integrating these technologies, several optimizations have been performed to utilize multi-processors resources. Along with models in several typical languages, these systems could be used at once for several applications. API functions are designed in a way that the users not familiar with speech recognition could finish development writing only several lines of code to finish a complete task of speech recognition.
  • Keywords
    application program interfaces; speech recognition; API functions; TBNR system; ThinkIT broadcast news; speech recognition system; Decoding; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Speech recognition; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on
  • Conference_Location
    Suzhou, Jiangsu
  • Print_ISBN
    978-1-4244-6334-3
  • Type

    conf

  • DOI
    10.1109/IWACI.2010.5585176
  • Filename
    5585176