A comparative study of different classifiers for detecting depression from spontaneous speech

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2013, Pages 8022-8026

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

^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

affective sensing; classifier comparison; clinical depression; Mood detection

Indexed keywords

AFFECTIVE COMPUTING; AFFECTIVE SENSING; CLASSIFICATION RESULTS; CLINICAL DEPRESSION; COMPARATIVE STUDIES; GAUSSIAN MIXTURE MODEL; MOOD DETECTION; MULTILAYER PERCEPTRON NEURAL NETWORKS;

CHEMICAL DETECTION; NEURAL NETWORKS; SIGNAL PROCESSING;

SUPPORT VECTOR MACHINES;

EID: 84890462134     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639227     Document Type: Conference Paper

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