An investigation of depressed speech detection: Features and normalization

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

Volumn , Issue , 2011, Pages 2997-3000

  Cummins, Nicholas ^a   Epps, Julien ^a,b   Breakspear, Michael ^a,c   Goecke, Roland ^d  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

^c QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^d UNIVERSITY OF CANBERRA   (Australia)

Author keywords

Depressed speech; Feature comparison; Gaussian mixture models; Mental state recognition; MFCC

Indexed keywords

AUTOMATIC DETECTION; CLASSIFICATION ACCURACY; DYNAMIC INFORMATION; EMOTION RECOGNITION; FEATURE COMPARISON; FEATURE NORMALIZATION; GAUSSIAN MIXTURE MODEL; MENTAL DISORDERS; MENTAL ILLNESS; MENTAL STATE; MFCC; SPEAKER NORMALIZATION; SPECTRAL FEATURE; SPEECH DATABASE; SPEECH DETECTION; SPEECH SEGMENTS; SPEECH SIGNALS;

DISEASES;

SPEECH RECOGNITION;

EID: 84865742520     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

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