• DocumentCode
    1226984
  • Title

    Word recognition by a parallel-branch subunit model based on misrecognized data in semi-continuous HMM

  • Author

    Park, Y.K. ; Un, C.K.

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Technol., Taejon, South Korea
  • Volume
    3
  • Issue
    3
  • fYear
    1996
  • fDate
    3/1/1996 12:00:00 AM
  • Firstpage
    66
  • Lastpage
    68
  • Abstract
    We propose a parallel-branch subunit model in semicontinuous HMM for improved initialization and training in word recognition. We obtain the model by adding a new subunit branch based on misrecognized data in training to the previous parallel branches for that subunit. Simulation results show that this proposed model is efficient and gives good recognition performance in word recognition.
  • Keywords
    hidden Markov models; speech recognition; misrecognized data; parallel-branch subunit model; recognition performance; semicontinuous HMM; simulation results; training; word recognition; Approximation algorithms; Convergence; Error analysis; Error correction codes; Hidden Markov models; Maximum likelihood estimation; Speech recognition; Testing; Training data;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.481157
  • Filename
    481157
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1226984