Exploring Graph Representation of Chorales

01/27/2022

∙

by   Somnuk Phon-Amnuaisuk, et al.

∙

0

∙

share

This work explores areas overlapping music, graph theory, and machine learning. An embedding representation of a node, in a weighted undirected graph 𝒢, is a representation that captures the meaning of nodes in an embedding space. In this work, 383 Bach chorales were compiled and represented as a graph. Two application cases were investigated in this paper (i) learning node embedding representation using Continuous Bag of Words (CBOW), skip-gram, and node2vec algorithms, and (ii) learning node labels from neighboring nodes based on a collective classification approach. The results of this exploratory study ascertains many salient features of the graph-based representation approach applicable to music applications.