Prediction of Valence and Arousal from Music Features

Mood is an important attribute of music and knowledge on mood can beused as a basic ingredient in music recommender and retrieval systems. Moods are assumed to be dominantly determined by two dimensions:valence and arousal. An experiment was conducted to attain data forsong-based ratings of valence and arousal. It is shown that the subject-averaged ratings can be predicted from music features by a linear model.