Note, Cut and Strike Detection for Traditional Irish Flute Recordings

Authors

Islah Ali-MacLachlan, Birmingham City UniversityFollow
Maciej Tomczak, Birmingham City UniversityFollow
Carl Southall, Birmingham City UniversityFollow
Jason Hockman, Birmingham City UniversityFollow

Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Musicology

Publication Details

6th. International Workshop on Folk Music Analysis, 15-17 June, 2016.

Abstract

This paper addresses the topic of note, cut and strike detection in Irish traditional music (ITM). In order to do this we first evaluate state of the art onset detection methods for identifying note boundaries. Our method utilises the results from manually and automatically segmented flute recordings. We then demonstrate how this information may be utilised for the detection of notes and single note articulations idiomatic of this genre for the purposes of player style identification. Results for manually annotated onsets achieve 86%, 70% and 74% accuracies for note, cut and strike classification respectively. Results for automatically segmented recordings are considerably, lower therefore we perform an analysis of the onset detection results per event class to establish which musical patterns contain the most errors.

DOI

https://doi.org/10.21427/D75F3C

Recommended Citation

Ali-MacLachlan, I., Tomczak, M., Southall, C., Hockman, J. (2016). Note, cut and strike detection for traditional Irish flute recordings.6th International Workshop on Folk Music Analysis, Dublin, 15-17 June, 2016.