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Desktop Control System with Voice Recognition by Using Hopfield Neural Network

http://hdl.handle.net/20.500.12678/0000003509
1422184d-67c2-4b9a-8915-ade29e4d68ca
13452e09-69b6-46cd-83dc-146da5c1a85e
None
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psc2010paper psc2010paper (49).pdf (337 Kb)
Publication type
Article
Upload type
Publication
Title
Title Desktop Control System with Voice Recognition by Using Hopfield Neural Network
Language en
Publication date 2010-12-16
Authors
Swe, Khaing War
Khin, Thuzar
Description
This paper describe the used of Hopfield neuralnetworks for voice recognition. Speech (voice)recognition is multileveled pattern recognition tasksand neural networks are good at patternrecognition; many early researchers naturally triedapplying neural networks to speech recognition.Hopfield neural network is a simple feedbacknetwork which is able to store patterns in a mannerrather similar to the brain – the full pattern can berecovered if the network is presented with onlypartial information. There is a degree of stability inthe system, the recalled pattern is not too badlycorrupted and the network can respond with a bestguess. Pattern storage is generally accomplished bya feedback network consisting of processing units.The stable states of the network represent the storedpatterns. Voice recognition is used for controllingthe icon from the desktop and office applications.The user speaks to the computer with the desirecommand that is the user’s training commands.Then the system understands the commands and isin many application areas especially for thehandicapped person.
Keywords
Neural Network, Hopfield-network, Voice Recognition
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1252
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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