From joyous to clinically depressed: Mood detection using spontaneous speech

Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25

Volumn , Issue , 2012, Pages 141-146

  Alghowinem, Sharifa ^a,e   Goecke, Roland ^a,b   Wagner, Michael ^b   Epps, Julien ^c   Breakspear, Michael ^c,d   Parker, Gordon ^c  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b UNIVERSITY OF CANBERRA   (Australia)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^e Ministry of Higher Education   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC FEATURES; CROSS VALIDATION; DATA SETS; GENDER CLASSIFICATION; HEALTHY CONTROLS; IN-CONTROL; MOOD DETECTION; MOOD DISORDERS; RECOGNITION RATES; SENSING TECHNOLOGY; SPONTANEOUS SPEECH; STATISTICAL FEATURES; TEMPORAL FEATURES;

ARTIFICIAL INTELLIGENCE;

EID: 84865055679     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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