Creating Reliable Database for Experiments on Extracting Emotions from Music

Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 31)


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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  1. 1.
    Fujinaga, I., McMillan, K. (2000) Realtime recognition of orchestral instruments. Proceedings of the International Computer Music Conference, 141–143Google Scholar
  2. 2.
    Hevner, K. (1936) Experimental studies of the elements of expression in music. American Journal of Psychology 48, 246–268CrossRefGoogle Scholar
  3. 3.
    Jackson, W. H. (1998) Cross-Cultural Perception and Structure of Music. On-line, available at Scholar
  4. 4.
    Kostek, B, Wieczorkowska, A. (1997) Parametric Representation Of Musical Sounds. Archives of Acoustics 22,1, 3–26Google Scholar
  5. 5.
    Li, T., Ogihara, M. (2003) Detecting emotion in music, in 4th International Conference on Music Information Retrieval ISMIR 2003, Washington, D.C., and Baltimore, Maryland. Available at Scholar
  6. 6.
    Marasek, K. (2004) Private communicationGoogle Scholar
  7. 7.
    Pollard, H. F., Jansson, E. V. (1982) A Tristimulus Method for the Specification of Musical Timbre. Acustica 51, 162–171Google Scholar
  8. 8.
    Rickard, N. S. (2004) Intense emotional responses to music: a test of the physiological arousal hypothesis. Psychology of Music 32,(4), 371–388. Available at Scholar
  9. 9.
    Sloboda, J. (1996) Music and the Emotions. British Association Festival of Science, The Psychology of MusicGoogle Scholar
  10. 10.
    Smith, H., Ike, S. (2004) Are Emotions Cros-Culturally Intersubjective? A Japanese Test. 21 Centure COE “Cultural and Ecological Foundations of the Mind”, Hokkaido University. The Internet: Scholar
  11. 11.
    Tato, R., Santos, R., Kompe, R., and Pardo, J. M. (2002) Emotional Space Improves Emotion Recognition. 7th International Conference on Spoken Language Processing ICSLP 2002, Denver, Colorado, available at Scholar
  12. 12.
    Vink, A. (2001) Music and Emotion. Living apart together: a relationship between music psychology and music therapy. Nordic Journal of Music Therapy, 10(2), 144–158CrossRefGoogle Scholar
  13. 13.
    Wieczorkowska, A. (2004) Towards Extracting Emotions from Music. International Workshop on Intelligent Media Technology for Communicative Intelligence, Warsaw, Poland, PJIIT-Publishing House, 181–183Google Scholar
  14. 14.
    Wieczorkowska, A., Wroblewski, J., Slezak, D., and Synak, P. (2003) Application of temporal descriptors to musical instrument sound recognition. Journal of Intelligent Information Systems 21(1), Kluwer, 71–93CrossRefGoogle Scholar
  15. 15.
    Wieczorkowska, A., Synak, P., Lewis, R., and Ras, Z. (2005) Extracting Emotions from Music Data. 15th International Symposium on Methodologies for Intelligent Systems ISMIS 2005, Saratoga Sprins, NY, USAGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  1. 1.Polish-Japanese Institute of Information TechnologyWarsawPoland
  2. 2.Computer Science Dept.University of North Carolina, CharlotteCharlotteUSA

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