Database Approaches to the Modelling and Querying of Musical Scores: a Survey - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Database Approaches to the Modelling and Querying of Musical Scores: a Survey

Résumé

This paper presents a survey of digital musical score databases, focusing on symbolic representation of the music content (as opposed to audio representation) in the context of Music Information Retrieval (MIR). We first provide a primer on Western classical music notation for unacquainted readers. Then, the core of our study categorizes and discusses various approaches to the data management layer of digital score libraries (DSLs), emphasizing their data models and query specifications. Special attention is given to the differences between ASCII-based, semi-structured, and graph-based data models, alongside high-level abstract models. The paper concludes with a discussion comparing these models based on several criteria, aiming to point out their respective strengths and limitations. This work synthesizes existing knowledge in the field of symbolic MIR and identifies promising areas for future research.
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Dates et versions

hal-04681804 , version 1 (30-08-2024)

Identifiants

  • HAL Id : hal-04681804 , version 1

Citer

Adel Aly, Olivier Pivert, Virginie Thion. Database Approaches to the Modelling and Querying of Musical Scores: a Survey. Proceedings of the International Conference on Theory and Practice of Digital Libraries (TPDL'24), Sep 2024, Ljubljana, Slovenia. ⟨hal-04681804⟩
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