Challenging sources: a new dataset for OMR of diverse 19th-century music theory examples

Abstract

A major limitation of current Optical Music Recog- nition (OMR) systems is that their performance strongly depends on the variability in the input images. What for human readers seems almost trivial—e.g., reading music in a range of different font types in different contexts—can drastically reduce the output quality of OMR models. This paper introduces the 19MT-OMR corpus that can be used to test OMR models on a diverse set of sources. We illustrate this challenge by discussing several examples from this dataset.

Date
Nov 18, 2022 11:11 AM — 11:11 AM
Location
Online
Fabian C. Moss
Fabian C. Moss
Digital Music Philology and Music Theory

Fabian C. Moss is an assistant professor for Digital Music Philology and Music Theory at Julius-Maximilians University Würzburg (JMU), Germany.

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