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

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

65

Lastpage

68

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1005443

Filename

1005443