Modeling Music as Synchronized Time Series: Application to Music Score Collections
作者：
Highlights：
• We define a data model to represent the core structure of music content, guided by the music notation language concepts.
• We propose an algebraic language, consisting in a compact, minimal set of operations that apply to the model domain in closed form.
• We describe an application to collections of digital music scores, encoded in XML. We describe an implementation that converts on-demand XML scores to instances of our model, extends XQuery with our algebra, and allows to express user-oriented queries over collections of music scores.
• We fully implemented our system, and publicly demonstrate its capacity in the context of the Neuma Digital Score Library at http://neuma.huma-num.fr.
摘要
•We define a data model to represent the core structure of music content, guided by the music notation language concepts.•We propose an algebraic language, consisting in a compact, minimal set of operations that apply to the model domain in closed form.•We describe an application to collections of digital music scores, encoded in XML. We describe an implementation that converts on-demand XML scores to instances of our model, extends XQuery with our algebra, and allows to express user-oriented queries over collections of music scores.•We fully implemented our system, and publicly demonstrate its capacity in the context of the Neuma Digital Score Library at http://neuma.huma-num.fr.
论文关键词：
论文评审过程：Received 21 June 2017, Revised 15 October 2017, Accepted 10 December 2017, Available online 16 December 2017, Version of Record 22 December 2017.
论文官网地址：https://doi.org/10.1016/j.is.2017.12.003
