• DocumentCode
    3583410
  • Title

    A new algorithm to design optimal Hidden Markov Models

  • Author

    Dologlou, I. ; Bakamidis, S. ; Carayannis, G.

  • Author_Institution
    Institute for Language and Speech Processing (ILSP) Artemidos and Epidavrou Str., Paradeisos Amaroussiou, Athens 151 25, Greece
  • fYear
    2000
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new algorithm for the design of Hidden Markov Models (HMM) from observed symbol and bisymbol probabilities is presented. The algorithm provides a global optimum and makes use of linear vectorial models of sequences of probabilistic vectors estimated during an off-line learning process. Moreover, a method to enhance observed data so as to comply with the constraints of HMM strings is proposed. An optimal estimate of the number of states of the HMM for the given observed data is also provided.
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2000 10th European
  • Print_ISBN
    978-952-1504-43-3
  • Type

    conf

  • Filename
    7075568
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3583410