• DocumentCode
    290001
  • Title

    Which model for future speech recognition systems: hidden Markov models or finite-state automata?

  • Author

    Di Martino, J. ; Mari, J.-F. ; Mathieu, B. ; Perot, K. ; Smaili, K.

  • Author_Institution
    CRIN-INRIA Lorraine, Vandoeuvre-les-Nancy, France
  • Volume
    i
  • fYear
    1994
  • fDate
    19-22 Apr 1994
  • Abstract
    Representation of speech using hidden Markov models is compared with a representation based on finite-state automata. Experimental results are presented for both methods and the respective advantages and disadvantages discussed
  • Keywords
    automata theory; finite automata; hidden Markov models; speech recognition; HMM; experimental results; finite-state automata; hidden Markov models; speech recognition systems; speech representation; Automata; Hidden Markov models; Prototypes; Speech recognition; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
  • Conference_Location
    Adelaide, SA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-1775-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1994.389214
  • Filename
    389214
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=290001