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Emotion recognition based on physiological changes in music listening
- Jonghwa Kim, E. André
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 December 2008
A novel scheme of emotion-specific multilevel dichotomous classification (EMDC) is developed and compared with direct multiclass classification using the pLDA, with improved recognition accuracy of 95 percent and 70 percent for subject-dependent and subject-independent classification, respectively.
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
A basic standard acoustic parameter set for various areas of automatic voice analysis, such as paralinguistic or clinical speech analysis, is proposed and intended to provide a common baseline for evaluation of future research and eliminate differences caused by varying parameter sets or even different implementations of the same parameters.
From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification
- J. Wagner, Jonghwa Kim, E. André
- Computer ScienceIEEE International Conference on Multimedia and…
- 6 July 2005
This paper discussed the most important stages of a fully implemented emotion recognition system including data analysis and classification, and used a music induction method which elicits natural emotional reactions from the subject.
Creating Interactive Virtual Humans: Some Assembly Required
- J. Gratch, J. Rickel, E. André, J. Cassell, E. Petajan, N. Badler
- PsychologyIEEE Intell. Syst.
- 1 July 2002
The issues and available tools in three key areas of virtual human research: face-to-face conversation, emotions and personality, and human figure animation are overviewed.
The Persona Effect: How Substantial Is It?
The results of the study indicate that the data from the subjective measures support the so called persona effect for the technical information but not for non-technical information, and with regard to the objective measures, neither a positive nor a negative effect could be found.
Integrating Models of Personality and Emotions into Lifelike Characters
Three ongoing projects that use personality and emotions to address different aspects of the affective agent-user interface are discussed, including Puppet, the Inhabited Market Place and Presence.
EmoVoice - A Framework for Online Recognition of Emotions from Voice
EmoVoice is presented, a framework for emotional speech corpus and classifier creation and for offline as well as real-time online speech emotion recognition and some applications and prototypes that already use the framework to track online emotional user states from voice information.
Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition
A data-mining experiment on feature selection for automatic emotion recognition using features derived from pitch, energy and MFCC time series finds the most relevant features in respect to the data are selected by removing correlated features.
The automated design of believable dialogues for animated presentation teams
A new style for presenting information is investigated and the notion of presentation teams which—rather than addressing the user directly—convey information in the style of performances to be observed by the user is introduced.