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MIR
2010
ACM
217views Multimedia» more  MIR 2010»
11 years 6 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
AUSAI
2009
Springer
11 years 5 months ago
Classification of EEG for Affect Recognition: An Adaptive Approach
Research on affective computing is growing rapidly and new applications are being developed more frequently. They use information about the affective/mental states of users to adap...
Omar AlZoubi, Rafael A. Calvo, Ronald H. Stevens
ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
10 years 11 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...
ICPR
2008
IEEE
11 years 7 months ago
A Hybrid PNN-GMM classification scheme for speech emotion recognition
With the increasing demand for spoken language interfaces in human-computer interactions, automatic recognition of emotional states from human speeches has become of increasing im...
Wee Ser, Ling Cen, Zhu Liang Yu
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