A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm

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Main Authors: Tahereh Hassanzadeh, Karim Faez, Golnaz Seyfi
Other Authors: g.seyfi@qiau.ac.ir
Format: Working Paper
Language:en
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
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Online Access:http://dspace.unimap.edu.my/123456789/20719
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author Tahereh Hassanzadeh
Karim Faez
Golnaz Seyfi
author2 g.seyfi@qiau.ac.ir
author_facet g.seyfi@qiau.ac.ir
Tahereh Hassanzadeh
Karim Faez
Golnaz Seyfi
author_sort Tahereh Hassanzadeh
building UniMAP Library
collection Institutional Repository
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
continent Asia
country Malaysia
description Link to publisher's homepage at http://ieeexplore.ieee.org/
format Working Paper
id my.unimap-20719
institution Universiti Malaysia Perlis
language en
publishDate 2012
publisher Institute of Electrical and Electronics Engineers (IEEE)
record_format dspace
spelling my.unimap-207192012-08-16T03:26:04Z A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm Tahereh Hassanzadeh Karim Faez Golnaz Seyfi g.seyfi@qiau.ac.ir t.hassanzadeh@qiau.ac.ir kfaez@aut.ac.ir Fuzzy Neural Network (FNN) Structure Equivalent Fuzzy Neural Network ( SEFNN) Neural network refly algorithm (FA) Speech recognition Particle swarm optimization (PSO) Link to publisher's homepage at http://ieeexplore.ieee.org/ Speech recognition technology is a technology that allows a computer to recognize the speech and the words that express through the microphone or speaks by phone. A Fuzzy Neural Network (FNN) is a learning approach that finds the parameters of a fuzzy system by exploiting approximation techniques from neural network. But FNN has some difficulty about how to automatically generate and adapt the membership function and fuzzy rules. To overcome the shortage of FNN, in this paper, we use SEFNN (Structure Equivalent Fuzzy Neural Network) and optimized its parameters with Firefly algorithm. Firefly Algorithm (FA), which is usually used in optimization problems is a stochastic population-based algorithm inspired by intelligent collective behavior of fireflies in the nature. The parameters of SEFNN trained by FA were used in speech recognition system to improve the ability of generalization of FNN. Results shows that the SEFNN optimized by FA for speech recognition system have higher recognition rate in compare of FNN trained by PSO method. 2012-08-16T03:26:03Z 2012-08-16T03:26:03Z 2012-02-27 Working Paper p. 63-67 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6178956 http://dspace.unimap.edu.my/123456789/20719 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
spellingShingle Fuzzy Neural Network (FNN)
Structure Equivalent Fuzzy Neural Network ( SEFNN)
Neural network
refly algorithm (FA)
Speech recognition
Particle swarm optimization (PSO)
Tahereh Hassanzadeh
Karim Faez
Golnaz Seyfi
A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
title A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
title_full A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
title_fullStr A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
title_full_unstemmed A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
title_short A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
title_sort speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
topic Fuzzy Neural Network (FNN)
Structure Equivalent Fuzzy Neural Network ( SEFNN)
Neural network
refly algorithm (FA)
Speech recognition
Particle swarm optimization (PSO)
url http://dspace.unimap.edu.my/123456789/20719
url_provider http://dspace.unimap.edu.my/