A corpus and a modular infrastructure for the empirical study of (an)notated music

The present corpus is the outcome of a long-term collaborative effort to produce analytically annotated music scores suitable for the computer-assisted study of European compositions since 1600. With 1283 analytically annotated, symbolically encoded music scores by 36 composers, our corpus amounts to one of the largest published resources of its kind. At the same time, it provides a modular digital infrastructure for the accountable, collaborative curation of annotated scores ("sheet music"). All annotations were created and reviewed by a team of trained music theorists, who collaborated online using the git version control software according to a formally codified workflow. To improve the consistency of analytical practices given the diversity of represented eras and genres, the corpus has been automatically parsed for notational well-formedness and cross-reviewed by annotators for adherence to our music-analytical guidelines. The computational infrastructure has been designed with "data persistence" and open access in mind.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-04-23
DOI
https://doi.org/10.1038/s41597-025-04976-z
Citations
1
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A corpus and a modular infrastructure for the empirical study of (an)notated music

Markus Neuwirth, Martin Rohrmeier, Yannis Rammos, Johannes Hentschel
1 citations
Scientific Data
Music and Audio Processing
1.49
article

A corpus and a modular infrastructure for the empirical study of (an)notated music

Markus Neuwirth, Martin Rohrmeier, Yannis Rammos, Johannes Hentschel
article en
1 citations

Abstract

The present corpus is the outcome of a long-term collaborative effort to produce analytically annotated music scores suitable for the computer-assisted study of European compositions since 1600. With 1283 analytically annotated, symbolically encoded music scores by 36 composers, our corpus amounts to one of the largest published resources of its kind. At the same time, it provides a modular digital infrastructure for the accountable, collaborative curation of annotated scores ("sheet music"). All annotations were created and reviewed by a team of trained music theorists, who collaborated online using the git version control software according to a formally codified workflow. To improve the consistency of analytical practices given the diversity of represented eras and genres, the corpus has been automatically parsed for notational well-formedness and cross-reviewed by annotators for adherence to our music-analytical guidelines. The computational infrastructure has been designed with "data persistence" and open access in mind.

Scientific DataVol. 12(1)
Anton Bruckner Private University (AT), University of Music Lausanne (CH), École Polytechnique Fédérale de Lausanne (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
Music and Audio Processing
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.