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The Ethereal
MusPyExpress: Extending MusPy with Enhanced Expression Text Support
August 21, 2026 ยท Grace Period ยท ๐ NeurIPS 2025 Workshop on AI for Music: Where Creativity Meets Computation
Authors
Phillip Long, Hao-Wen Dong, Julian McAuley, Zachary Novack
arXiv ID
2608.21678
Category
cs.SD: Sound
Cross-listed
cs.LG,
eess.AS
Citations
0
Venue
NeurIPS 2025 Workshop on AI for Music: Where Creativity Meets Computation
Abstract
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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