Title :
Speech recognition using modified fuzzy hypersphere neural network
Author :
Doye, D.D. ; Kulkarni, U.V. ; Sontakke, T.R.
Author_Institution :
Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Vishnupuri, India
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper, a modified fuzzy hypersphere neural network (MFHSNN) is proposed, which is an extension of the fuzzy hypersphere neural network (FHSNN) proposed by Kulkarni and Sontakke (2001). Its performance is compared with FHSNN for the recognition of spoken Marathi (the language spoken in the state of Maharashtra, India) digits and found to be superior with respect to the recall time and recognition rate
Keywords :
feature extraction; fuzzy neural nets; learning (artificial intelligence); speech recognition; feature extraction; fuzzy hypersphere neural network; hypersphere membership; learning algorithm; speech recognition; spoken Marathi recognition; training set; Computer networks; Computer science; Educational institutions; Fuzzy neural networks; Fuzzy sets; Natural languages; Neural networks; Pattern recognition; Speech recognition; Testing;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005443
