• DocumentCode
    1032915
  • Title

    Homomorphic vector quantisation

  • Author

    V¿¿ch, R.

  • Author_Institution
    Czechoslovak Academy of Sciences, Institute of Radio Engineering & Electronics, Prague, Czechoslovakia
  • Volume
    23
  • Issue
    11
  • fYear
    1987
  • Firstpage
    561
  • Lastpage
    562
  • Abstract
    A new approach is proposed for vector quantisation in linear predictive speech coding. The problem is formulated as speech model recognition by minimising the Euclidean distance measure of real cepstra of models with unit power transmission. The procedure is robust with respect to quantisation of both the cepstral coefficients and operational results.
  • Keywords
    speech analysis and processing; speech recognition; Euclidean distance measure of real cepstra; homomorphic vector quantisation; linear predictive speech coding; speech model recognition; speech recognition;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19870402
  • Filename
    4257734
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1032915