• DocumentCode
    1377962
  • Title

    Improved HMM parameter compensation method for noise-robust speech recognition using state-dependent association factor

  • Author

    Chang, Y.H. ; Chung, Y.J.

  • Author_Institution
    LGIC R&D Center, Anyang
  • Volume
    34
  • Issue
    8
  • fYear
    1998
  • fDate
    4/16/1998 12:00:00 AM
  • Firstpage
    724
  • Lastpage
    725
  • Abstract
    The authors propose a new model parameter compensation algorithm based on parallel model combination (PMC). It differs from PMC in that the amount of adaptation for the parameters is varied depending on the states and mixture components of continuous density HMM. A state-dependent association factor which determines the adaptation is employed and obtained by an EM algorithm
  • Keywords
    adaptive signal processing; compensation; hidden Markov models; speech recognition; EM algorithm; HMM parameter compensation method; continuous density HMM; model parameter compensation algorithm; noise-robust speech recognition; parallel model combination; state-dependent association factor;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19980544
  • Filename
    674880
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1377962