Generating affective music icons in the emotion plane
CHI '09 Extended Abstracts on Human Factors in Computing Systems
The Pursuit of Happiness in Music: Retrieving Valence with Contextual Music Descriptors
Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music
Multiinnovation least-squares identification for system modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Minimalist approach to show emotions via a flock of smileys
Journal of Network and Computer Applications
Modeling of operators' emotion and task performance in a virtual driving environment
International Journal of Human-Computer Studies
Mobile music therapy with multimedia quality of life supporters for elderly and disabled
Journal of Mobile Multimedia
Machine Recognition of Music Emotion: A Review
ACM Transactions on Intelligent Systems and Technology (TIST)
The acoustic emotion gaussians model for emotion-based music annotation and retrieval
Proceedings of the 20th ACM international conference on Multimedia
| Hi-index | 0.00 |
Research was conducted to develop a methodology to model the emotional content of music as a function of time and musical features. Emotion is quantified using the dimensions valence and arousal, and system-identification techniques are used to create the models. Results demonstrate that system identification provides a means to generalize the emotional content for a genre of music. The average R2 statistic of a valid linear model structure is 21.9% for valence and 78.4% for arousal. The proposed method of constructing models of emotional content generalizes previous time-series models and removes ambiguity from classifiers of emotion.