Note, Cut and Strike Detection for Traditional Irish Flute Recordings

Ali-MacLachlan, Islah and Tomczak, Maciej and Southall, Carl and Hockman, Jason (2016) Note, Cut and Strike Detection for Traditional Irish Flute Recordings. In: 6th International Workshop on Folk Music Analysis, 15th - 17th June 2016, Dublin, Ireland.

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Abstract

This paper addresses the topic of note, cut and strike detection inIrish 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.

Item Type: Conference or Workshop Item (Paper)
Subjects: G900 Others in Mathematical and Computing Sciences
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Digital Media Technology
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: Miss Jessica Baylis
Date Deposited: 24 Aug 2016 13:09
Last Modified: 11 Oct 2017 13:05
URI: http://www.open-access.bcu.ac.uk/id/eprint/3242

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