Composer Classification Using a Note Difference Graph

Raymond Conlin, Colm O'Riordan

2025

Abstract

This paper presents a representation for a symbolically encoded work of music that highlights the relative differences between related notes. Our experiments show that when a Graph Neural Network (GNN) is trained to classify classical composers using this note difference graph, it outperforms a network trained with the representation described by Szeto and Wong \cite{A_graph-theoretical_approach_for_pattern_matching_in_post-tonal_music_analysis}. The note difference graph employed in this work is derived from the representation of Szeto and Wong. Each node in the note difference graph corresponds to two connected notes in a piece and contains the information relating to the differences between them. Nodes in the note difference graph are joined by an edge if they share any notes in common. The described representation provides an improvement in classification accuracy and reduction in bias when using imbalanced datasets. Given the improved classification accuracy achieved by the neural networlk with our representation, we believe that highlighting the relationship between notes provides the network with the opportunity of identifying the salient features more readily.

Paper Citation

in Harvard Style

Conlin R. and O'Riordan C. (2025). Composer Classification Using a Note Difference Graph. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN , SciTePress, pages 372-379. DOI: 10.5220/0013740200004000

in Bibtex Style

@conference{kdir25,
author={Raymond Conlin and Colm O'Riordan},
title={Composer Classification Using a Note Difference Graph},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2025},
pages={372-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013740200004000},
isbn={},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - Composer Classification Using a Note Difference Graph
SN -
AU - Conlin R.
AU - O'Riordan C.
PY - 2025
SP - 372
EP - 379
DO - 10.5220/0013740200004000
PB - SciTePress