Tracking and Visualizing the Changes of Mandarin Emotional Expression
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Detecting Emotions in Classical Music from MIDI Files
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Feature selection for content-based, time-varying musical emotion regression
Proceedings of the international conference on Multimedia information retrieval
From once upon a time to happily ever after: tracking emotions in novels and fairy tales
LaTeCH '11 Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
Automatic mood detection and tracking of music audio signals
IEEE Transactions on Audio, Speech, and Language Processing
| Hi-index | 0.00 |
This paper presents a new strategy for the analysis of emotions contained within musical compositions. We present a method for tracking changing emotions during the course of a musical piece. The collected data allowed to determine the dominant emotion in the musical composition, present emotion histograms and construct maps visualizing the distribution of emotions in time. The amount of changes of emotions during a piece may be different, therefore we introduced a parameter evaluating the quantity of changes of emotions in a musical composition. The information obtained about the emotion in a piece made it possible to analyze a number of pieces, in particular the Sonatas of Ludwig van Beethoven. This analysis has provided new knowledge about the compositions and the method of their emotional development.