Abstract
Emotions can be expressed in various ways. Music is one of possible media to express emotions. However, perception of music depends on many aspects and is very subjective. This paper focuses on collecting and labelling data for further experiments on discovering emotions in music audio files. The database of more than 300 songs was created and the data were labelled with adjectives. The whole collection represents 13 more detailed or 6 more general classes, covering diverse moods, feelings and emotions expressed in the gathered music pieces.
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Wieczorkowska, A., Synak, P., Lewis, R., Ras, Z. (2005). Creating Reliable Database for Experiments on Extracting Emotions from Music. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_41
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DOI: https://doi.org/10.1007/3-540-32392-9_41
Publisher Name: Springer, Berlin, Heidelberg
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