• DocumentCode
    2747680
  • Title

    Disquisition of Speech Recognition In VDR

  • Author

    Zhou, Wenjun ; Hao, Yanling

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    9562
  • Lastpage
    9564
  • Abstract
    An speech recognition based on the energy difference degree (EDD) argument was proposed. Because voiced sound has distinct formants, while great noise with impact has not, therefore, this algorithm greatly improves the capturing capability of it. By setting up and down threshold of EDD parameter, weak and loud noise was disposed and results was obtained better. The analysis in theory and the result of emulation shows that this method has preferable effect under low Signal-to-Noise used in speech recognition in VDR
  • Keywords
    fast Fourier transforms; speech recognition; endpoint detection; energy difference degree; fast Fourier transform; formants; speech recognition; voyage data recorder; Acoustic noise; Acoustical engineering; Automation; Cepstral analysis; Educational institutions; Power engineering and energy; Signal analysis; Signal processing; Speech analysis; Speech recognition; EDD Parameter; Endpoint detection; Formants; Speech recognition; Voyage Data Recorder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713855
  • Filename
    1713855