Walshaw, Christopher ORCID: 0000-0003-0253-7779 (2018) A visual exploration of melodic relationships within traditional music collections. In: Proceedings of the 22nd International Conference on Information Visualisation. IEEE, Salerno, pp. 478-483. ISBN 978-1-5386-7202-0 (doi:https://doi.org/10.1109/iV.2018.00089)

Preview

PDF (Author Accepted Manuscript) 20904 WALSHAW_A_Visual_Exploration_of_Melodic_Relationships_2018.pdf - Accepted Version Download (495kB) | Preview

Abstract

The aim of this paper is to discuss a technique for visually exploring melodic relationships within traditional tune collections encoded in abc notation, a widely used text-based music representation system particularly popular for folk and traditional music. There are approximately ½ million melodies encoded in abc on the web and abcnotation.com provides a searchable index of the entire corpus with tools to view, download and listen to the scores.

This paper stems from related work known as TuneGraph which uses a melodic similarity measure to derive a proximity graph representing relationships between tunes in the abc corpus, and which allows users of abcnotation.com to explore melodic similarity. As it stands TuneGraph only gives a localised view of the melodic relationships: this paper aims to look at exploring those relationships at a global (corpus-based) level via a prototype visualisation tool. Currently the tool is not interactive: in this paper the aim is to consider a proof-of-concept approach to explore where there is a useful visualisation possible; future work will look at user interactivity with the tool.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of the 22nd International Conference on Information Visualisation
Additional Information:	Conference held from 10 - 13 July 2018, University of Salerno, Italy
Uncontrolled Keywords:	melodic similarity, graph drawing
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Liberal Arts & Sciences > Computational Science & Engineering Group (CSEH) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Related URLs:	Organisation Publisher
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/20904

Actions (login required)

View Item

Downloads