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» Spoken emotion recognition using hierarchical classifiers
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ICPR
2002
IEEE
14 years 6 months ago
Emotion Recognition Using a Cauchy Naive Bayes Classifier
Recognizing human facial expression and emotion by computer is an interesting and challenging problem. In this paper we propose a method for recognizing emotions through facial ex...
Nicu Sebe, Michael S. Lew, Ira Cohen, Ashutosh Gar...
ICPR
2008
IEEE
13 years 11 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
EDM
2008
92views Data Mining» more  EDM 2008»
13 years 6 months ago
Mining Free-form Spoken Responses to Tutor Prompts
How can an automated tutor assess children's spoken responses despite imperfect speech recognition? We address this challenge in the context of tutoring children in explicit s...
Xiaonang Zhang, Jack Mostow, Nell Duke, Christina ...
ICPR
2008
IEEE
14 years 6 months ago
Multiple classifier applied on predicting microsleep from speech
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Jarek Krajewski, Anton Batliner, Rainer Wieland
CORR
2004
Springer
195views Education» more  CORR 2004»
13 years 5 months ago
Detecting User Engagement in Everyday Conversations
This paper presents a novel application of speech emotion recognition: estimation of the level of conversational engagement between users of a voice communication system. We begin...
Chen Yu, Paul M. Aoki, Allison Woodruff