Speech Recognition using Modular General Fuzzy Min-Max Neural Network
Dharmpal Dronacharya Doye, T.R. Sontakke · IETE Journal of Research · 2002
In this paper, we propose the Modular General Fuzzy, Min-Max Neural Network (MMGFMM). MMGFMM contains number of modules of Modified General Fuzzy Min-Max Neural Network (MGFMM). In MGFMM, the transfer function of output layer of General Fuzzy Min-Max Neural Network (GFMM) is modified. The performance of GFMM, MGFMM and MMGFMM to recognition of spoken Marathi (Language spoken in the state of Maharashtra, India) digits is reported. MMGFMM has shown better average recognition accuracy compared to GFMM by 15.1% in speaker dependent mode and by 11.9% in speaker independent mode.