Musical pieces can be modeled as complex networks. This fosters innovative ways to categorize music, paving the way towards novel applications in multimedia domains, such as music didactics, multimedia entertainment and digital music generation. Clustering these networks through their main metrics allows grouping similar musical tracks. To show the viability of the approach, we provide results on a dataset of guitar solos.
Ferretti, S. (2018). Clustering of Musical Pieces through Complex Networks: an Assessment over Guitar Solos. IEEE MULTIMEDIA, 25(4), 57-67 [10.1109/MMUL.2018.2873497].
Clustering of Musical Pieces through Complex Networks: an Assessment over Guitar Solos
Ferretti, Stefano
2018
Abstract
Musical pieces can be modeled as complex networks. This fosters innovative ways to categorize music, paving the way towards novel applications in multimedia domains, such as music didactics, multimedia entertainment and digital music generation. Clustering these networks through their main metrics allows grouping similar musical tracks. To show the viability of the approach, we provide results on a dataset of guitar solos.File in questo prodotto:
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