• DocumentCode
    2346038
  • Title

    New distortion measures for speech processing

  • Author

    Li, Ta-Hsin ; Gibson, Jerry D.

  • Author_Institution
    Dept. of Stat., Texas A&M Univ., College Station, TX, USA
  • fYear
    1994
  • fDate
    27-29 Oct 1994
  • Firstpage
    92
  • Abstract
    New distortion measures are derived from a recently proposed characterization function of stationary time series and are shown to be more robust than some commonly-used distortion measures such as the Kullback-Leibler spectral divergence in speech processing
  • Keywords
    speech processing; time series; Kullback-Leibler spectral divergence; characterization function; distortion measures; speech processing; stationary time series; Density measurement; Distortion measurement; Filtering; Parametric statistics; Robustness; Signal processing; Speech analysis; Speech processing; Statistical analysis; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
  • Conference_Location
    Alexandria, VA
  • Print_ISBN
    0-7803-2761-6
  • Type

    conf

  • DOI
    10.1109/WITS.1994.513919
  • Filename
    513919
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2346038