Music Emotion Detecting Based on Beat Spectrum
Yan Li, Shiying Yang, Wei Li, Ye Hang Zhu · 2010
A new method is proposed in this paper to detect emotions in music. Four audio features are used to classify emotions into six clusters with the RAKEL (Random klabelsets)multi-label classification. The Experiments show the rationality of proposed method and good performance on classification with the feature of beat spectrum.