# Partitura: A Python Package for Symbolic Music Processing

arXiv: https://arxiv.org/abs/2206.01071 · HTML: https://mlsanity.com/paper/2206.01071/

## Key facts

- Cited by 16 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jun 2022.

## Built on by (most cited first, 16 of 16)

- [Cadence Detection in Symbolic Classical Music using Graph Neural Networks](https://mlsanity.com/paper/2208.14819/) (2022)
- [DExter: Learning and Controlling Performance Expression with Diffusion Models](https://mlsanity.com/paper/2406.14850/) (2024)
- [Sheet Music Benchmark: Standardized Optical Music Recognition Evaluation](https://mlsanity.com/paper/2506.10488/) (2025)
- [The GigaMIDI Dataset with Features for Expressive Music Performance Detection](https://mlsanity.com/paper/2502.17726/) (2025)
- [Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem](https://mlsanity.com/paper/2304.14848/) (2023)
- [GraphMuse: A Library for Symbolic Music Graph Processing](https://mlsanity.com/paper/2407.12671/) (2024)
- [LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR](https://mlsanity.com/paper/2506.19065/) (2025)
- [SyMuPe: Affective and Controllable Symbolic Music Performance](https://mlsanity.com/paper/2511.03425/) (2025)
- [Predicting Music Hierarchies with a Graph-Based Neural Decoder](https://mlsanity.com/paper/2306.16955/) (2023)
- [Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving](https://mlsanity.com/paper/2407.21030/) (2024)
- [PianoCoRe: Combined and Refined Piano MIDI Dataset](https://mlsanity.com/paper/2605.06627/) (2026)
- [Exploring Classical Piano Performance Generation with Expressive Music Variational AutoEncoder](https://mlsanity.com/paper/2507.01582/) (2025)
- [EngravingGNN: A Hybrid Graph Neural Network for End-to-End Piano Score Engraving](https://mlsanity.com/paper/2509.19412/) (2025)
- [Disentangling Score Content and Performance Style for Joint Piano Rendering and Transcription](https://mlsanity.com/paper/2509.23878/) (2025)
- [Learning to Predict Performance-induced Emotion Differences in Classical Piano Music](https://mlsanity.com/paper/2607.28876/) (2026)
- [ScorePrompts: Natural-Language Exploration of Symbolic Music Scores through Analysis](https://mlsanity.com/paper/2609.13291/) (2026)

## Abstract (arXiv)

Partitura is a lightweight Python package for handling symbolic musical information. It provides easy access to features commonly used in music information retrieval tasks, like note arrays (lists of timed pitched events) and 2D piano roll matrices, as well as other score elements such as time and key signatures, performance directives, and repeat structures. Partitura can load musical scores (in MEI, MusicXML, Kern, and MIDI formats), MIDI performances, and score-to-performance alignments. The package includes some tools for music analysis, such as automatic pitch spelling, key signature identification, and voice separation. Partitura is an open-source project and is available at https://github.com/CPJKU/partitura/.