• DocumentCode
    2635746
  • Title

    Cross-words reference template for DTW-based speech recognition systems

  • Author

    Abdulla, Waleed H. ; Chow, David ; Sin, Gary

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
  • Volume
    4
  • fYear
    2003
  • fDate
    15-17 Oct. 2003
  • Firstpage
    1576
  • Abstract
    One of the main problems in dynamic time-warping (DTW) based speech recognition systems are the preparation of reliable reference templates for the set of words to be recognised. This paper presents a simple novel technique for preparing reliable reference templates to improve the recognition rate score. The developed technique produces templates called crosswords reference templates (CWRTs). It extracts the reference template from a set of examples rather than one example. This technique can be adapted to any DTW-based speech recognition systems to improve its performance. The speaker-dependent recognition rate, as tested on the English digits, is improved from 85.3%, using the traditional technique to 99%, using the developed technique.
  • Keywords
    feature extraction; speech recognition; called crosswords reference templates; cross-word reference template; dynamic time-warping; feature extraction; reference templates; speech recognition systems; time-series signals; Artificial neural networks; Cellular phones; Cepstral analysis; Costs; Engines; Hidden Markov models; Silicon compounds; Speech recognition; Testing; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
  • Print_ISBN
    0-7803-8162-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2003.1273186
  • Filename
    1273186