5th International Conference on Spoken Language Processing
In this research, a new strategy of Fuzzy-Neural Network system was proposed for Thai numeral speech recognition. Instead of using the fuzzy membership input with class membership desired-output during training procedure as proposed by several researches, we used the fuzzy membership input with fundamental binary desired-output. This can reduce the misunderstood training, decrease the training time and also improve the recognition ability. The system was tested on the Thai ten-numeral speech (0-9) recognition. The error rate for speaker-independent test achieved 9.2% compared to 14% error rate of conventional neural network system while the error rate of the system using class membership desired-output is quite high because of misunderstood training.
Bibliographic reference. Wutiwiwatchai, Chai / Jitapunkul, Somchai / Ahkuputra, Visarut / Maneenoi, Ekkarit / Luksaneeyanawin, Sudaporn (1998): "A new strategy of fuzzy-neural network for Thai numeral speech recognition", In ICSLP-1998, paper 0349.