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Modeling Bends in Popular Music Guitar Tablatures

Authors :
D'Hooge, Alexandre
Bigo, Louis
Déguernel, Ken
Algomus
Modélisation, Information et Systèmes - UR UPJV 4290 (MIS)
Université de Picardie Jules Verne (UPJV)-Université de Picardie Jules Verne (UPJV)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
ANR-22-CE38-0001,TABASCO,Composition de tablatures pour guitare assistée par ordinateur(2022)
Source :
Proceedings of the 24th International Society for Music Information Retrieval Conference, International Society for Music Information Retrieval, International Society for Music Information Retrieval, Jan 2023, Milan, Italy
Publication Year :
2023
Publisher :
HAL CCSD, 2023.

Abstract

International audience; Tablature notation is widely used in popular music to transcribe and share guitar musical content. As a complement to standard score notation, tablatures transcribe performance gesture information including finger positions and a variety of guitar-specific playing techniques such as slides, hammer-on/pull-off or bends.This paper focuses on bends, which enable to progressively shift the pitch of a note, therefore circumventing physical limitations of the discrete fretted fingerboard. In this paper, we propose a set of 25 high-level features, computed for each note of the tablature, to study how bend occurrences can be predicted from their past and future short-term context. Experiments are performed on a corpus of 932 lead guitar tablatures of popular music and show that a decision tree successfully predicts bend occurrences with an F1 score of 0.71 anda limited amount of false positive predictions, demonstrating promising applications to assist the arrangement of non-guitar music into guitar tablatures.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the 24th International Society for Music Information Retrieval Conference, International Society for Music Information Retrieval, International Society for Music Information Retrieval, Jan 2023, Milan, Italy
Accession number :
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