• DocumentCode
    536340
  • Title

    Second-order hidden Markov models based on the fuzzy c-means and fuzzy entropy

  • Author

    Du Shiping ; Jian, Wang ; Yuming, Wei

  • Author_Institution
    Collge of Biol. & Sci., Sichuan Agric. Univ., Ya´´an, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    49
  • Lastpage
    52
  • Abstract
    Second-order hidden Markov models (HMM2) have been widely used in pattern recognition, especially in speech recognition. Their main advantages are their capabilities to model noisy temporal signals of variable length. This paper presents an extension of HMM2 based on the fuzzy c-means (FCM) and fuzzy entropy (FE) referred to as FCM-FE-HMM2. By building up a generalised fuzzy objective function, several new formulae solving model training problem are theoretically derived for FCM-FE-HMM2.
  • Keywords
    entropy; fuzzy set theory; hidden Markov models; pattern clustering; formulae solving model; fuzzy c-means; fuzzy entropy; fuzzy objective function; pattern recognition; second order hidden Markov model; speech recognition; Hidden Markov models; Baum-Welch algorithm; forward-backward procedure; fuzzy c-means; fuzzy entropy; second-order hidden Markov models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658727
  • Filename
    5658727
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=536340