A neural network based on sequence learning for speech recognition

Author

Elmisery, Fathy A. ; Starzyk, Janusz A.

Author_Institution

Fac. of Ind. Educ., Beni Suef Univ., Beni Suef

fYear

2008

fDate

25-27 Nov. 2008

Firstpage

139

Lastpage

142

Abstract

This paper aims to present a neural network based on sequence learning for speech recognition. Since, the sequence learning is an important component of learning in many task domains of intelligent system such as, speech recognition, natural language processing, adaptive control, inference, planning, reasoning, robotics, time series prediction, and DNA sequencing. Our proposed network shows recognition rate (100%). The proposed topology doesnpsilat need a long time for training so it is suitable for on line recognition. It is suitable for configurable hardware implementation and it can be used when there no enough data for training.

Keywords

learning (artificial intelligence); neural nets; speech recognition; topology; intelligent system; neural network; on line recognition; sequence learning; speech recognition; topology; Adaptive control; DNA; Intelligent robots; Intelligent systems; Natural language processing; Network topology; Neural networks; Process planning; Sequences; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering & Systems, 2008. ICCES 2008. International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4244-2115-2

Electronic_ISBN

978-1-4244-2116-9

Type

conf

DOI

10.1109/ICCES.2008.4772983

Filename

4772983