Emotion recognition using a hierarchical binary decision tree approach
Top Cited Papers
- 1 November 2011
- journal article
- Published by Elsevier BV in Speech Communication
- Vol. 53 (9-10), 1162-1171
- https://doi.org/10.1016/j.specom.2011.06.004
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Spoken emotion recognition using hierarchical classifiersComputer Speech & Language, 2011
- Detecting emotional state of a child in a conversational computer gameComputer Speech & Language, 2011
- A novel hierarchical speech emotion recognition method based on improved DDAGSVMComputer Science and Information Systems, 2010
- Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion DetectionIEEE Transactions on Audio, Speech, and Language Processing, 2009
- IEMOCAP: interactive emotional dyadic motion capture databaseLanguage Resources and Evaluation, 2008
- Large-Scale Bayesian Logistic Regression for Text CategorizationTechnometrics, 2007
- Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical gameInternational Journal of Human-Computer Studies, 2005
- Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agentInternational Journal of Human-Computer Studies, 2005
- Interactive Robots as Social Partners and Peer Tutors for Children: A Field TrialHuman–Computer Interaction, 2004
- On measuring performance in category judgment studies of nonverbal behaviorJournal of Nonverbal Behavior, 1993