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INTERSPEECH
2010
13 years 9 days ago
Acoustic feature analysis in speech emotion primitives estimation
We recently proposed a family of robust linear and nonlinear estimation techniques for recognizing the three emotion primitives
Dongrui Wu, Thomas D. Parsons, Shrikanth S. Naraya...
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Emotion Recognition from Noisy Speech
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
Mingyu You, Chun Chen, Jiajun Bu, Jia Liu, Jianhua...
ICMCS
2005
IEEE
116views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Speaker Independent Speech Emotion Recognition by Ensemble Classification
Emotion recognition grows to an important factor in future media retrieval and man machine interfaces. However, even human deciders often experience problems realizing one’s emo...
Björn Schuller, Stephan Reiter, Ronald Mü...
ICMCS
2010
IEEE
194views Multimedia» more  ICMCS 2010»
13 years 5 months ago
Speech emotion estimation in 3D space
Speech processing is an important aspect of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, nu...
Dongrui Wu, Thomas D. Parsons, Emily Mower, Shrika...
ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...