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
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;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658727
