扩展音乐处理库，让模型能理解乐谱中的演奏标记。
MusPyExpress: Extending MusPy with Enhanced Expression Text Support
- 扩展MusPy库，可提取乐谱中的演奏文本信息
- 在PDMX数据集上揭示大量可用的演奏标记
- 支持联合生成、条件生成等新任务，适合音乐生成研究者
当前符号化音乐建模主要依赖从类似MIDI的数据中提取表示。这类格式虽可将音乐视为音符序列，却忽略了西方乐谱中广泛存在的表达文本（如速度、力度），这些文本规定了演奏的时间与音量控制。为弥补这一缺口，我们提出MusPyExpress，作为流行符号音乐处理库MusPy的扩展，支持在下游建模中同时提取表达文本与符号化音乐。利用该扩展，我们对PDMX数据集进行解析，展示了MusicXML数据集中丰富的表达文本信息。此外，我们引入多项生成任务，包括表达-音符联合生成、表达条件下的音乐生成和表达标记标注，充分利用这些附加记谱信息。
原文摘要 · Abstract (English)
Current work in modeling symbolic music primarily relies on representations extracted from MIDI-like data. While such formats allow for modeling symbolic music as sequences of notes, they omit the large space of symbolic annotations common in western sheet music broadly known as expression text, such as tempo or dynamics, which specify time- and velocity-dependent controls on the musical composition and performance. To alleviate this gap, we present MusPyExpress, an extension to the popular symbolic music processing library MusPy that enables the extraction of expression text along with symbolic music for downstream modeling. Utilizing this extension, we parse the PDMX dataset to illustrate the wealth of expression text available in MusicXML datasets. Additionally, we introduce multiple generative tasks, including joint expression-note generation, expression-conditioned music generation, and expression tagging, that take advantage of this additional notational information.
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