Clustering of Musical Pieces through Complex Networks: an Assessment over Guitar Solos

2017/09/14 by Stefano Ferretti, Ferretti, Stefano
Computer Science · Neuroscience · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Music Technology and Sound Studies #Music and Audio Processing #Neuroscience and Music Perception #Social and Information Networks (cs.SI) #Sound (cs.SD)

paper · pdf · doi:10.48550/arxiv.1709.05193

openalex publication_date 2017/09/14 · openalex created_date 2022/08/19 · openalex updated_date 2026/07/28

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.

Related

• Analysis and Visualization of Musical Structure using Networks
• Algorithmic Clustering of Music
• Classical Music Clustering Based on Acoustic Features
• Music-Circles: Can Music Be Represented With Numbers?
• Topology of Networks in Generalized Musical Spaces