Towards a Topological Fingerprint of Music

被引:9
|
作者
Bergomi, Mattia G. [1 ]
Barate, Adriano [2 ]
Di Fabio, Barbara [3 ]
机构
[1] Champalimaud Ctr Unknown, Champalimaud Neurosci Programme, Lisbon, Portugal
[2] Univ Milan, Lab Informat Musicale, Milan, Italy
[3] Univ Modena & Reggio Emilia, Dipartimento Sci & Metodi Ingn, Reggio Emilia, Italy
来源
COMPUTATIONAL TOPOLOGY IN IMAGE CONTEXT, CTIC 2016 | 2016年 / 9667卷
关键词
Music; Classification; Clustering; Tonnetz; Persistent homology; TRANSFORMATIONS; DISTANCE; TONNETZ;
D O I
10.1007/978-3-319-39441-1_9
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Can music be represented as a meaningful geometric and topological object? In this paper, we propose a strategy to describe some music features as a polyhedral surface obtained by a simplicial interpretation of the Tonnetz. The Tonnetz is a graph largely used in computational musicology to describe the harmonic relationships of notes in equal tuning. In particular, we use persistent homology in order to describe the persistent properties of music encoded in the aforementioned model. Both the relevance and the characteristics of this approach are discussed by analyzing some paradigmatic compositional styles. Eventually, the task of automatic music style classification is addressed by computing the hierarchical clustering of the topological fingerprints associated with some collections of compositions.
引用
收藏
页码:88 / 100
页数:13
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