We propose a standard representation for hierarchical musical analyses as an extension to the Music Encoding Initiative (MEI) representation for music. Analyses of music need to be represented in digital form for the same reasons as music: preservation, sharing of data, data linking, and digital processing. Systems exist for representing sequential information, but many music analyses are hierarchical, whether represented explicitly in trees or graphs or not. Features of MEI allow the representation of an analysis to be directly associated with the elements of the music analyzed. MEI’s basis in TEI (Text Encoding Initiative), allows us to design a scheme which reuses some of the elements of TEI for the representation of trees and graphs. In order to capture both the information specific to a type of music analysis and the underlying form of an analysis as a tree or graph, we propose related “semantic” encodings, which capture the detailed information, and generic “non-semantic” encodings which expose the tree or graph structure. We illustrate this with examples of representations of a range of different kinds of analysis.

中文翻译：

---

基于MEI的用于分层音乐分析的标准编码

我们提出了用于分层音乐分析的标准表示形式，作为对音乐的“音乐编码倡议”（MEI）表示形式的扩展。出于与音乐相同的原因，音乐分析需要以数字形式表示：保存，数据共享，数据链接和数字处理。存在用于表示顺序信息的系统，但是许多音乐分析都是分层的，无论是否以树或图形明确表示。MEI的功能允许将分析的表示与所分析音乐的元素直接关联。MEI在TEI（文本编码倡议）中的基础使我们能够设计一种方案，该方案将TEI的某些元素重用于树和图形的表示。为了捕获特定于音乐分析类型的信息以及分析的基本形式（如树或图），我们提出了相关的“语义”编码（用于捕获详细信息）和通用的“非语义”编码（用于捕获特定信息）公开树或图结构。我们用各种不同类型分析的表示示例来说明这一点。