DocumentCode :
356076
Title :
Neural network approach to speech pathology
Author :
Salvatore, Anthony P. ; Thome, Nicolas ; Gorss, C.M. ; Cannito, Michael P.
Author_Institution :
Dept. of Health Sci., Texas Univ., El Paso, TX, USA
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
439
Abstract :
A speech problem can be caused by different reasons, from psychological to organic. The existing diagnostic of speech pathologies relies on skilled doctors who can often diagnose by simply listening to the patient. We show that neural networks can simulate this ability and thus provide an automated (preliminary) diagnosis
Keywords :
medical diagnostic computing; neural nets; patient diagnosis; speech; automated preliminary diagnosis; neural networks; speech pathology; speech problems; Humans; Length measurement; Motor drives; Natural languages; Neural networks; Pathology; Psychology; Speech; Testing; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
Type :
conf
DOI :
10.1109/MWSCAS.1999.867299
Filename :
867299
Link To Document :
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