• DocumentCode
    774289
  • Title

    Query-based HMM training method for ASR

  • Author

    Kyung, YounJeong ; Jung, Jio ; Moon, SeokYong

  • Author_Institution
    Dept. of Comput. Sci., Tokyo Inst. of Technol., Japan
  • Volume
    39
  • Issue
    16
  • fYear
    2003
  • Firstpage
    1222
  • Lastpage
    1223
  • Abstract
    A query-based hidden Markov model (HMM) training method for refinement of classification boundary is proposed. For this work, an HMM inversion with minimisation of mean-square error (MMSE) criterion is defined. The proposed algorithm is compared with conventional training methods on an isolated digit recognition problem. The proposed query-based HMM learning algorithm decreased the recognition error rate to 60% in conducted experiments.
  • Keywords
    hidden Markov models; least mean squares methods; speech recognition; MMSE criterion; active learning; automatic speech recognition; classification boundary refinement; inversion algorithm; isolated digit recognition; query-based hidden Markov model training method;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030774
  • Filename
    1226594
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=774289