Multichannel weighted speech classification system for prediction of major depression in adolescents

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 2, 2013, Pages 497-506

  Ooi, Kuan Ee Brian ^a   Lech, Margaret ^a   Allen, Nicholas B ^b  

^a RMIT UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Clinical depression; decision fusion; optimal weighting; prediction of depression; risk for depression; speech classification

Indexed keywords

ACCURACY LEVEL; ACOUSTIC PARAMETERS; ACOUSTIC SPEECH; CLINICAL DEPRESSION; CLINICAL DIAGNOSTICS; COMPUTATIONAL METHODOLOGY; DECISION FUSION; DECISION PROCEDURE; EARLY PREDICTION; ENERGY OPERATORS; MULTI-CHANNEL; OPTIMAL WEIGHTING; PREDICTION PERFORMANCE; PROSODIC FEATURES; SINGLE-CHANNEL; SPEECH CLASSIFICATION;

DIAGNOSIS; SPEECH ANALYSIS;

FORECASTING;

ADOLESCENT DISEASE; ARTICLE; CHILD; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; FEMALE; HUMAN; LARYNX; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; SCHOOL CHILD; SENSITIVITY AND SPECIFICITY; SPEECH ANALYSIS;

ADOLESCENT; ANALYSIS OF VARIANCE; CHILD; DATABASES, FACTUAL; DEPRESSIVE DISORDER, MAJOR; FEMALE; HUMANS; MALE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPEECH; SPEECH ACOUSTICS;

EID: 84872548205     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2228646     Document Type: Article

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