Network representations of drum sequences for classification and generation
Complex networks have emerged as a powerful framework for understanding and analyzing musical compositions, revealing underlying structures and dynamics that may not be immediately apparent. This article explores the application of complex network representations to the study of symbolic drum sequen...
Saved in:
Main Authors: | Daniel Gómez-Marín, Sergi Jordà, Perfecto Herrera |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Computer Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2024.1476996/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection
by: Nazime Tokgöz, et al.
Published: (2024-06-01) -
ASPECTS OF THE HARMONY OF CULTIC CHOIRS FROM OEDIPUS BY GEORGE ENESCU
by: Petruţa-Maria COROIU (MĂNIUŢ)
Published: (2011-06-01) -
Evolution of sample-based music authorship network
by: Dongju Park, et al.
Published: (2025-01-01) -
INVARIANT SYSTEM OF THE STEAM-DRUM BOILER FEED AUTOMATIC REGULATION
by: G. T. Kulakov, et al.
Published: (2015-10-01) -
Stability and microbial community analysis during rotary drum composting of vegetable waste
by: V. Sudharsan Varma, et al.
Published: (2024-02-01)