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» Emotion recognition using PHOG and LPQ features
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ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
13 years 5 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...
INTETAIN
2005
Springer
14 years 1 months ago
Grounding Emotions in Human-Machine Conversational Systems
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
Giuseppe Riccardi, Dilek Z. Hakkani-Tür
COST
2009
Springer
203views Multimedia» more  COST 2009»
14 years 2 months ago
Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition
Abstract. The recognition of the emotional states of speaker is a multidisciplinary research area that has received great interest in the last years. One of the most important goal...
Enrique M. Albornoz, Diego H. Milone, Hugo Leonard...
INTERSPEECH
2010
13 years 2 months ago
Emotion recognition using imperfect speech recognition
This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can c...
Florian Metze, Anton Batliner, Florian Eyben, Tim ...
LREC
2010
272views Education» more  LREC 2010»
13 years 9 months ago
Automatic Annotation of Word Emotion in Sentences Based on Ren-CECps
Textual information is an important communication medium contained rich expression of emotion, and emotion recognition on text has wide applications. Word emotion analysis is fund...
Changqin Quan, Fuji Ren