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Visual Representations for Music Understanding Improvement

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Music Technology with Swing (CMMR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11265))

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Abstract

Classical music appreciation is non trivial. Visual representation can aid music teaching and learning processes. In this sense, we propose a set of visual representations based on musical notes features, such as: note type, octave, velocity and timbre. In our system, the visual elements appear along with their corresponding musical elements, in order to improve the perception of musical structures. The visual representations we use to enhance the comprehension of a composition could be extended to performing arts scenarios. It could be adopted as motion graphics during live musical performances. We have developed several videos to illustrate our method. We have also developed an ear training quiz and a research questionnaire. This material is available at http://www.impa.br/~vitorgr/VLMU/home.html.

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Acknowledgments

The authors would like to thank the following institutions for their support: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), and finally Instituto Nacional Casa da Moeda (Portugal).

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Correspondence to Leandro Cruz .

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Cruz, L., Rolla, V., Kestenberg, J., Velho, L. (2018). Visual Representations for Music Understanding Improvement. In: Aramaki, M., Davies , M., Kronland-Martinet, R., Ystad, S. (eds) Music Technology with Swing. CMMR 2017. Lecture Notes in Computer Science(), vol 11265. Springer, Cham. https://doi.org/10.1007/978-3-030-01692-0_31

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  • DOI: https://doi.org/10.1007/978-3-030-01692-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01691-3

  • Online ISBN: 978-3-030-01692-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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