• DocumentCode
    839986
  • Title

    Performance comparison between semicontinuous and discrete hidden Markov models of speech

  • Author

    Huang, X.D. ; Jack, M.A.

  • Author_Institution
    Edinburgh Univ., UK
  • Volume
    24
  • Issue
    3
  • fYear
    1988
  • fDate
    2/4/1988 12:00:00 AM
  • Firstpage
    149
  • Lastpage
    150
  • Abstract
    The semicontinuous hidden Markov model (SCHMM) of speech has been shown to offer improved performance in comparison to conventional discrete HMM. Experimental results with different vector quantisation levels, different probability density functions, and different numbers of tokens in the training set for the SCHMM are reported here to compare with conventional discrete HMM
  • Keywords
    Markov processes; speech analysis and processing; HMM; SCHMM; discrete; hidden Markov models; performance; probability density functions; semicontinuous; speech; tokens; training set; vector quantisation levels;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • Filename
    191595
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=839986