• DocumentCode
    776305
  • Title

    Representation of hidden Markov model for noise adaptive speech recognition

  • Author

    Lee, L.-M. ; Wang, H.-C.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • Volume
    31
  • Issue
    8
  • fYear
    1995
  • fDate
    4/13/1995 12:00:00 AM
  • Firstpage
    616
  • Lastpage
    617
  • Abstract
    The state parameters of the hidden Markov model are represented by the autocorrelation coefficients of a context window that can be adaptively transformed to cepstral and delta cepstral coefficients according to the environmental noise. Experimental results show that it can significantly improve the speech recognition rate under noisy environments
  • Keywords
    Gaussian noise; adaptive signal processing; hidden Markov models; interference suppression; parameter estimation; speech intelligibility; speech recognition; white noise; HMM; autocorrelation coefficients; context window; delta cepstral coefficients; environmental noise; hidden Markov model; noise adaptive speech recognition; noisy environments; speech recognition rate; state parameters;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19950410
  • Filename
    383989
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=776305