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Mood Cloud : A Real-Time Music Mood Visualization Tool
| Title | Mood Cloud : A Real-Time Music Mood Visualization Tool |
| Publication Type | Conference Paper |
| Year of Publication | 2008 |
| Conference Name | CMMR, Computer Music Modeling and Retrieval |
| Authors | Laurier, C. , & Herrera P. |
| Conference Location | Copenhagen |
| Abstract |
We present Mood Cloud, an application of automatic music mood prediction from audio content. While playing a song, we visualize in real-time the prediction probabilities of five mood categories : “happy”, “sad”, “aggressive”, “relax” and “party”. Each mood is represented by a colored bar graph with text, dynamically resized according to the mood probability. The resulting application is a dynamic visualization of the mood predictions, demonstrating the performance of current state of the art techniques in Music Information Retrieval and especially in automatic mood classification. |
| preprint/postprint document | files/publications/MoodCloud.pdf |