“The original <scp>PDF</scp> score is just completely inaccessible”: A Proposed Workflow for Making Archival Music Scores Accessible Using <scp>MEI</scp>

ABSTRACT Archivists often make music scores available online as PDFs, JPEGs, TIFFs, or other image‐based files. But, for some Disabled users, such files can be inaccessible because they are incompatible with assistive technologies. So, using the Music Encoding Initiative (MEI), I devised a workflow to convert those image‐based scores to accessible formats. This poster presents the results of a pilot study implementing that workflow on a set of 14 scores by Maria Theresia von Paradis to create Braille music notation (BRF), modified stave notation (MSN), and audio files (WAV). Experimentation and usability testing revealed that the workflow is successful but requires increased automation (especially optical music recognition, or OMR) to be realistically implemented across music archives.

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Publication Details

Journal
Proceedings of the Association for Information Science and Technology
Published
2025-10-01
DOI
https://doi.org/10.1002/pra2.1493
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

“The original PDF score is just completely inaccessible”: A Proposed Workflow for Making Archival Music Scores Accessible Using MEI

Proceedings of the Association for Information Science and Technology
Music and Audio Processing
article

“The original PDF score is just completely inaccessible”: A Proposed Workflow for Making Archival Music Scores Accessible Using MEI

article en

Abstract

ABSTRACT Archivists often make music scores available online as PDFs, JPEGs, TIFFs, or other image‐based files. But, for some Disabled users, such files can be inaccessible because they are incompatible with assistive technologies. So, using the Music Encoding Initiative (MEI), I devised a workflow to convert those image‐based scores to accessible formats. This poster presents the results of a pilot study implementing that workflow on a set of 14 scores by Maria Theresia von Paradis to create Braille music notation (BRF), modified stave notation (MSN), and audio files (WAV). Experimentation and usability testing revealed that the workflow is successful but requires increased automation (especially optical music recognition, or OMR) to be realistically implemented across music archives.

Proceedings of the Association for Information Science and TechnologyVol. 62(1)
University of Maryland, College Park (US)
Openalex Percentile: Top 42%
Music and Audio Processing
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