Abstract
Investigating the emotional impact of historical music, e.g. music of the 19th century, is a complex challenge since the subjects that listened to this music and their emotions are forever gone. As a result, asking them for their experiences is not possible anymore and we need other means to gain insights into the expressive quality of music of this century. In this vision paper, we describe a pattern-based method called MUSE4Music to quantitatively find similarities in different pieces of music. The reconstruction of musical patterns will allow us to draw conclusions from erratic documents that go far beyond the single pieces they are referring to.
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Notes
Within musicology there is a tradition of research on musical topics that began with a monograph by [10]. Other important contributions include the work of such authors as Kofi Agawu, Wye Allanbrook, Robert Hatten and Raymond Monelle (see [8, 9]). The basic idea of this area of research, which is almost exclusively confined to late 18th-century music, becomes clear in Danuta Mirka’s definition of a musical topic as “musical styles and genres taken out of their proper context and used in another one” ([9], p. 2). We draw on this approach. However, our concept of pattern will not be limited exclusively to styles that are taken out of their proper context but will extend to characteristic sets of musical properties in any context.
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An erratum to this article is available at http://dx.doi.org/10.1007/s00450-016-0340-5.
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Barzen, J., Breitenbücher, U., Eusterbrock, L. et al. The vision for MUSE4Music. Comput Sci Res Dev 32, 323–328 (2017). https://doi.org/10.1007/s00450-016-0336-1
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DOI: https://doi.org/10.1007/s00450-016-0336-1