• DocumentCode
    1087660
  • Title

    Segmental corrective training for hidden Markov model parameter estimation in speech recognition

  • Author

    Kim, H.R. ; Lee, Hwang Soo

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
  • Volume
    27
  • Issue
    18
  • fYear
    1991
  • Firstpage
    1633
  • Lastpage
    1635
  • Abstract
    A modified corrective training method using state segment information in the hidden Markov model is presented. The proposed algorithm is shown to result in a higher recognition rate than the conventional corrective training method and requires less computation.
  • Keywords
    learning systems; neural nets; parameter estimation; speech analysis and processing; speech recognition; virtual machines; hidden Markov model; higher recognition rate; less computation; modified corrective training method; neural networks; parameter estimation; speech recognition; state segment information;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19911021
  • Filename
    132852
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1087660