A new strategy of fuzzy-neural network for Thai numeral speech recognition
Chai Wutiwiwatchai, SOMCHAI JITAPUNKUL, V. Arkuputra, Ekkarit Maneenoi, P. Amornkul, Sudaporn Luksaneeyanawin · 2002
Instead of using the fuzzy membership input with class membership desired output among training procedures as proposed by several researchers, we used the fuzzy membership input with conventional binary desired output. This can reduce the mistaken training, decrease the training time and also improve the recognition ability. The system was tested on the recognition of ten Thai numerals from zero to nine. The error rate for speaker-independent tests achieved 9.2% compared with 14% error rate for conventional neural network systems while the error rate of the system using class membership desired output is somewhat higher because of mistaken training.