CCA based feature selection with application to continuous depression recognition from acoustic speech features

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

Volumn , Issue , 2014, Pages 3729-3733

  Kaya, Heysem ^a,b   Eyben, Florian ^b   Salah, Albert Ali ^a   Schuller, Bjorn ^b,c  

^a BOGAZICI UNIVERSITY   (Turkey)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

acoustic speech processing; affect recognition; Canonical Correlation Analysis; depression recognition; feature extraction; feature selection

Indexed keywords

FEATURE EXTRACTION; MEAN SQUARE ERROR; SIGNAL PROCESSING; SPEECH ANALYSIS; SPEECH PROCESSING; STATISTICAL TESTS;

ACOUSTIC SPEECH; AFFECT RECOGNITION; CANONICAL CORRELATION ANALYSIS; DEPRESSION RECOGNITION; MULTI-MODAL; ROOT MEAN SQUARE ERRORS; TEST SETS;

SPEECH RECOGNITION;

EID: 84905226582     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854298     Document Type: Conference Paper

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