Abstract
Music emotion research has led to identifying timbre as a feature influencing human affect. This work constructs a user-specific affect model identifying music induced emotion using several timbre features. A corpora of music-emotion data was collected, which includes 150 30-second long instrumental segments and self-annotated emotion labels. Several pieces were found whose timbral content induces a consistent emotional response. To find the relationship between emotion and timbre, 60 timbre feature derivatives were used along with 13 MFCC features. Experiments using four classifiers yielded accuracy between 44% to 72%.
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Avisado, H.G., Cocjin, J.V., Gaverza, J.A., Cabredo, R., Cu, J., Suarez, M. (2012). Analysis of Music Timbre Features for the Construction of User-Specific Affect Model. In: Nishizaki, Sy., Numao, M., Caro, J., Suarez, M.T. (eds) Theory and Practice of Computation. Proceedings in Information and Communications Technology, vol 5. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54106-6_3
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DOI: https://doi.org/10.1007/978-4-431-54106-6_3
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-54105-9
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