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Paper Information

Journal:   INTERNATIONAL JOURNAL OF ENGINEERING   DECEMBER 2003 , Volume 16 , Number 4 (TRANSACTIONS B: APPLICATIONS); Page(s) 329 To 336.
 
Paper: 

FUZZY CLUSTERING APPROACH USING DATA FUSION THEORY AND ITS APPLICATION TO AUTOMATIC ISOLATED WORD RECOGNITION

 
 
Author(s):  PIPELZADEH M.H., PIPELZADEH M.H., PIPELZADEH M.H.
 
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Abstract: 
In this paper, utilization of clustering algorithms for data fusion in decision level is ‎proposed. The results of automatic isolated word recognition, which are derived from ‎speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with ‎each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy ‎vector quantization. Experimental results show that the proposed algorithms have ‎better performance, compared to classical clustering‏.‏
 
Keyword(s): DATA FUSION THEORY, K-MEANS CLUSTERING, FUZZY K-MEANS, FUZZY VECTOR QUANTIZATION
 
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