A local interpolation scheme using no derivatives in potential sampling: Application to O(1D) + H2 system

2003 ◽  
Vol 24 (9) ◽  
pp. 1077-1086 ◽  
Author(s):  
Toshimasa Ishida ◽  
George C. Schatz
1979 ◽  
Vol 40 (C4) ◽  
pp. C4-226-C4-227
Author(s):  
H. A. Razafimandimby ◽  
C.E.T. Gonçalves da Silva
Keyword(s):  

2013 ◽  
Vol 37 (3) ◽  
pp. 611-620
Author(s):  
Ing-Jr Ding ◽  
Chih-Ta Yen

The Eigen-FLS approach using an eigenspace-based scheme for fast fuzzy logic system (FLS) establishments has been attempted successfully in speech pattern recognition. However, speech pattern recognition by Eigen-FLS will still encounter a dissatisfactory recognition performance when the collected data for eigen value calculations of the FLS eigenspace is scarce. To tackle this issue, this paper proposes two improved-versioned Eigen-FLS methods, incremental MLED Eigen-FLS and EigenMLLR-like Eigen-FLS, both of which use a linear interpolation scheme for properly adjusting the target speaker’s Eigen-FLS model derived from an FLS eigenspace. Developed incremental MLED Eigen-FLS and EigenMLLR-like Eigen-FLS are superior to conventional Eigen-FLS especially in the situation of insufficient data from the target speaker.


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