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Selection of Audio Features for Music Emotion Recognition Using Production Music

[1] Mathieu Barthet, David Marston, Chris Baume, György Fazekas, and Mark Sandler. Design and Evaluation of Semantic Mood Models for Music Recommendation. In Proc. International Society for Music Information Retrieval Conference, 2013. A selected set of 1760 tracks was evaluated, using one-third for testing and 2-fold cross-validation. Every pair of features were tested before taking the top 12, testing those with every other feature and repeating. The results show that 32 spectral, harmonic, rhythmic and temporal features are needed for optimum performance, but as the error converges quickly, good performance can be achieved with much fewer.