TNSRE
TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.
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Seyed Reza Shahamiri
Seyed Reza Shahamiri (M'13) received the B.S. and M.S. degrees in computer engineering from Islamic Azad University, Tehran, Iran, in 2004 and 2007, respectively, and the Ph.D. degree in computer science from Universiti Teknologi Malaysia, Skudai, Malaysia, in 2011.
He is a Senior Lecturer at the Department of Software Engineering, University of Malaya, Kuala Lumpur, Malaysia. His current research interests are centered in complex pattern recognition, disabled speech processing, and intelligent software testing. He leads and teaches modules at both undergraduate and postgraduate levels in computer science.
Associated articles
TNSRE, Featured Articles
A Multi-Views Multi-Learners Approach Towards Dysarthric Speech Recognition Using Multi-Nets Artificial Neural Networks
Abstract
Automatic speech recognition (ASR) can be very helpful for speakers who suffer from dysarthria, a neurological disability that damages the control of motor speech articulators. Although a few attempts have been made to apply ASR technologies to sufferers of dysarthria,...
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Posted on 17 SEP 2014