dc.contributor.author |
Hettiarachchi, YK |
|
dc.contributor.author |
Withanage, DK |
|
dc.date.accessioned |
2014-01-16T18:31:16Z |
|
dc.date.available |
2014-01-16T18:31:16Z |
|
dc.date.issued |
2014-01-17 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/9809 |
|
dc.description.abstract |
In the field of medicine, currently a variety
of methods are used to identify the pathologies in the
human speech production system. The most common
drawbacks of those methods are the discomfort for the
patient caused during inspection, the dependency of
the results on medical practitioner's experience and
the high cost of diagnosis involved if advanced systems
are used. This research discusses how to overcome
those drawbacks by using an leT tool that can provide
quantitative evidence of the vocal disorder of patients
to medical practitioners to diagnose pathologies in
deceased speech producing system of patients. |
en_US |
dc.language.iso |
en |
en_US |
dc.title |
Voice disorder recognizer to aid diagnosis of a speech pathologist |
en_US |
dc.type |
Conference-Extended-Abstract |
en_US |
dc.identifier.year |
2013 |
en_US |
dc.identifier.conference |
ITRU Research Symposium - 2013 |
en_US |
dc.identifier.pgnos |
72-75 |
en_US |
dc.identifier.proceeding |
Innovations for the next Generation of IT |
en_US |
dc.identifier.email |
kavidnih20@gmail.com |
en_US |
dc.identifier.email |
dkwithanage@uom.lk |
en_US |