Emotion recognition from speech via boosted Gaussian mixture models

Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

Volumn , Issue , 2009, Pages 294-297

  Tang, Hao ^a   Chu, Stephen M ^b   Hasegawa Johnson, Mark ^a   Huang, Thomas S ^a  

^a University of Illinois at Urbana Champaign   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Bayesian optimal classifier; Boosting; EM algorithm; Emotion recognition; Gaussian mixture model

Indexed keywords

BAYESIAN OPTIMAL CLASSIFIER; BOOSTING; EM ALGORITHM; EMOTION RECOGNITION; GAUSSIAN MIXTURE MODEL;

ACOUSTICS; BAYESIAN NETWORKS; BLIND SOURCE SEPARATION; CLASSIFIERS; COMMUNICATION CHANNELS (INFORMATION THEORY); FACE RECOGNITION; IMAGE SEGMENTATION; LEARNING SYSTEMS; MAGNETOSTRICTIVE DEVICES; MIXTURES; MULTIMEDIA SYSTEMS; OBJECT RECOGNITION; OPTIMIZATION; PARAMETER ESTIMATION;

SPEECH RECOGNITION;

EID: 70449563206     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2009.5202493     Document Type: Conference Paper

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