• DocumentCode
    2997333
  • Title

    Steady part recognition of continuous speech for acoustic-phonetic decoding

  • Author

    Vicard, Dominique ; Miclet, Laurent

  • Author_Institution
    TELIC-Alcatel, Strasbourg Cedex, France
  • Volume
    11
  • fYear
    1986
  • fDate
    31503
  • Firstpage
    2263
  • Lastpage
    2266
  • Abstract
    We present in this paper an automatic segmentation and labelling module for the steady parts of continuous speech. The segmentation stage splits the signal into five classes, and the labelling stage uses vector quantization techniques as well as an original decision rule mixing the Bayes and K Nearest Neighbor criteria. The resulting (single speaker) recognition scores are very encouraging. This project is supported by grants from ANRT(*) and TELIC-ALCATEL, and realized at ENST.
  • Keywords
    Algorithm design and analysis; Automatic speech recognition; Cepstral analysis; Decoding; Kernel; Labeling; Speech analysis; Speech recognition; Stability; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1986.1168530
  • Filename
    1168530
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2997333