Analysis of acoustic space variability in speech affected by depression

Author:

Cummins Nicholas,Sethu Vidhyasaharan,Epps Julien,Schnieder Sebastian,Krajewski Jarek

Funder

National ICT Australia

Australian Government

Australian Research Council

German Research Foundation

Small Business Innovation Research

United States National Institute of Mental Health

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference91 articles.

1. Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Breakspear, M., Parker, G., 2012. From joyous to clinically depressed: mood detection using spontaneous speech. In: Twenty-Fifth International FLAIRS Conference. Marco Island, Florida, pp. 141–146.

2. Normalized amplitude quotient for parametrization of the glottal flow;Alku;J. Acoust. Soc. Am.,2002

3. Allianz Deutschland, RWI, 2011. Depression–Wie die Krankheit unsere Seele belastet. .

4. Reflections of depression in acoustic measures of the patient’s speech;Alpert;J. Affect. Disord.,2001

5. Diagnostic and Statistical Manual of Mental Disorders: DSM-V;American Psychiatric Association,2013

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