The vision for MUSE4music applying the MUSE method in musicology

被引:3
|
作者
Barzen J. [1 ]
Breitenbücher U. [1 ]
Eusterbrock L. [2 ]
Falkenthal M. [1 ]
Hentschel F. [2 ]
Leymann F. [1 ]
机构
[1] Institute of Architecture of Application Systems, University of Stuttgart, Stuttgart
[2] Musicological Institute, University of Cologne, Cologne
来源
Computer Science - Research and Development | 2017年 / 32卷 / 3-4期
关键词
Automation; Digital humanities; Mining; Musical expressivity; Musical patterns; Pattern discovery;
D O I
10.1007/s00450-016-0336-1
中图分类号
学科分类号
摘要
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. © Springer-Verlag Berlin Heidelberg 2016.
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页码:323 / 328
页数:5
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