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Comparative Analysis of Musical Performances by Using Emotion Tracking

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Foundations of Intelligent Systems (ISMIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10352))

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Abstract

Systems searching musical compositions on Internet databases more and more often add an option of selecting emotions to the basic search parameters, such as title, composer, genre, etc. Finding pieces with a similar emotional distribution throughout the same composition is an option that further extends the capabilities of search systems. In this study, we presented a comparative analysis of musical performances by using emotion tracking. A dimensional approach of dynamic music emotion recognition was used in the analysis. Values of arousal and valence, predicted by regressors, were used to compare performances. We analyzed the emotional content of performances of 6 musical works. The obtained results confirm the validity of the assumption that tracking and analyzing the values of arousal and valence over time in different performances of the same composition can be used to indicate their similarities.

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Notes

  1. 1.

    http://aragorn.pb.bialystok.pl/~grekowj/HomePage/Performances.

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Acknowledgments

This research was realized as part of study no. S/WI/3/2013 and financed from Ministry of Science and Higher Education funds.

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Authors and Affiliations

  1. Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351, Bialystok, Poland

    Jacek Grekow

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  1. Jacek Grekow
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Correspondence to Jacek Grekow .

Editor information

Editors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Marzena Kryszkiewicz

  2. University of Bari Aldo Moro, Bari, Italy

    Annalisa Appice

  3. Institute of Informatics, University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  4. Faculty of Electronics & Information, Warsaw University of Technology, Warsaw, Poland

    Henryk Rybinski

  5. Institute of Mathematics, Warsaw University, Warsaw, Poland

    Andrzej Skowron

  6. Department of Computer Science, University of North Carolina at Charlotte, North Carolina, USA

    Zbigniew W. RaÅ›

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Grekow, J. (2017). Comparative Analysis of Musical Performances by Using Emotion Tracking. In: Kryszkiewicz, M., Appice, A., Ślęzak, D., Rybinski, H., Skowron, A., Raś, Z. (eds) Foundations of Intelligent Systems. ISMIS 2017. Lecture Notes in Computer Science(), vol 10352. Springer, Cham. https://doi.org/10.1007/978-3-319-60438-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-60438-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60437-4

  • Online ISBN: 978-3-319-60438-1

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