Abstract
This paper addresses the problem of multi-label classification of emotions in musical recordings. The testing data set contains 875 samples (30 seconds each). The samples were manually labelled into 13 classes, without limits regarding the number of labels for each sample. The experiments and test results are presented.
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Wieczorkowska, A., Synak, P., Raś, Z.W. (2006). Multi-Label Classification of Emotions in Music. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33521-8_30
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DOI: https://doi.org/10.1007/3-540-33521-8_30
Publisher Name: Springer, Berlin, Heidelberg
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