Detecting sleepiness by fusing classifiers trained with novel acoustic features

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

Volumn , Issue , 2011, Pages 3285-3288

  Rahman, Tauhidur ^a   Mariooryad, Soroosh ^a   Keshavamurthy, Shalini ^a   Liu, Gang ^a   Hansen, John H L ^a   Busso, Carlos ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

Affective computing; Paralinguistics; Sleepiness; Speaker state recognition

Indexed keywords

ACOUSTIC FEATURES; AFFECTIVE COMPUTING; DECISION LEVELS; EMOTION RECOGNITION; F0 CONTOURS; FEATURE SETS; FUNCTIONALS; HUMAN MACHINE INTERACTION; NON-NEUTRAL; PARALINGUISTICS; REFERENCE MODELS; SLEEPINESS; SLEEPINESS DETECTION; SPECTRAL FEATURE; STATE RECOGNITION; TRAFFIC SAFETY; VOICED SEGMENT;

LINGUISTICS;

CHEMICAL DETECTION;

EID: 84865752286     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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