Automatic detection of depression in speech using Gaussian mixture modeling with factor analysis

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

Volumn , Issue , 2011, Pages 2981-2984

  Sturim, Douglas ^a   Torres Carrasquillo, Pedro ^a   Quatieri, Thomas F ^a   Malyska, Nicolas ^a   McCree, Alan ^a  

^a MIT LINCOLN LABORATORY   (United States)

Author keywords

Gaussian mixture models; Joint factor analysis; Major depressive disorder; Nuisance mitigation

Indexed keywords

AUTOMATIC CLASSIFIERS; AUTOMATIC DETECTION; CHANNEL EFFECT; CLASSIFICATION ACCURACY; DATA VARIABILITY; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODELING; JOINT FACTOR ANALYSIS; MAJOR DEPRESSIVE DISORDER; NUISANCE MITIGATION; SPEECH DATABASE;

MULTIVARIANT ANALYSIS;

FACTOR ANALYSIS;

EID: 84865714823     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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