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Mohnyin University
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Myanmar Institute of Information Technology
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Myanmar Maritime University
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National Management Degree College
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Naypyitaw State Academy
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Pathein University
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Sagaing University
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies, Meikhtila
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University of Computer Studies Pathein
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University of Computer Studies, Taungoo
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University of Computer Studies, Yangon
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Medicine 1
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Yangon University of Education
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New Index
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Item
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Desktop Control System with Voice Recognition by Using Hopfield Neural Network
http://hdl.handle.net/20.500.12678/0000003509
http://hdl.handle.net/20.500.12678/00000035091422184d-67c2-4b9a-8915-ade29e4d68ca
13452e09-69b6-46cd-83dc-146da5c1a85e
Name / File | License | Actions |
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Publication type | ||||||
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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 |