Using prosodic and spectral features in detecting depression in elderly males

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2011, Pages 3001-3004

  Sanchez, Michelle Hewlett ^a,b   Vergyri, Dimitra ^a   Ferrer, Luciana ^a   Richey, Colleen ^a   Garcia, Pablo ^a   Knoth, Bruce ^a   Jarrold, William ^c  

^a SRI INTERNATIONAL   (United States)

^b STANFORD UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Depression; Emotion detection; Prosodic features

Indexed keywords

CROSS VALIDATION; DEPRESSION; DISCRIMINATIVE CLASSIFIERS; EMOTION DETECTION; INPUT FEATURES; LEAVE-ONE-OUT; PREDICTION ACCURACY; PROCESSING PROBLEMS; PROSODIC FEATURES; PSYCHOLOGICAL HEALTH; SPECTRAL FEATURE; SPECTRAL TILT; SPEECH FEATURES; SPEECH SIGNALS;

CONTINUOUS SPEECH RECOGNITION; STATISTICAL METHODS;

SPEECH PROCESSING;

EID: 84865799502     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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