Distinguishing depression and suicidal risk in men using GMM based frequency contents of affective vocal tract response

Two types of speech recording collected from three groups of male subjects clinically diagnosed with depression, remission from depression, and suicidal potential were analyzed and investigated for their acoustic features derived from sub-band energy over 0-2 KHz and GMM-based spectrum of the vocal...

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Bibliographic Details

Published in:	2008 International Conference on Control, Automation and Systems : 14-17 October 2008 pp. 901 - 904
Main Authors:	Yingthawornsuk, T., Shiavi, R.G.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2008
Subjects:	Automation Biomedical engineering classification Control systems depression Feature extraction Frequency estimation GMM Linear predictive coding Loudspeakers Psychology Risk analysis Speech analysis suicidal risk vocal tract
ISBN:	8995003898, 9788995003893
Online Access:	Get full text
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