Mood tracking of radio station broadcasts

Abstract

This paper presents an example of a system for the analysis of emotions contained within radio broadcasts. We prepared training data, did feature extraction, built classifiers for music/speech discrimination and for emotion detection in music. To study changes in emotions, we used recorded broadcasts from 4 selected European radio stations. The collected data allowed us to determine the dominant emotion in the radio broadcasts and construct maps visualizing the distribution of emotions in time. The obtained results provide a new interesting view of the emotional content of radio station broadcasts. © 2014 Springer International Publishing.