Optical Medieval Music Recognition Using Background Knowledge

Optical Medieval Music Recognition Using Background Knowledge

This paper deals with the effect of exploiting background knowledge for improving an OMR (Optical Music Recognition) deep learning pipeline for transcribing medieval, monophonic, handwritten music from the 12th–14th century, whose usage has been neglected in the literature. Various types of backgrou...

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Bibliographic Details
Main Authors: Alexander Hartelt, Frank Puppe
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Algorithms
Subjects:
Optical Music Recognition
historical document analysis
medieval manuscripts
neume notation
fully convolutional neural networks
background knowledge
Online Access:https://www.mdpi.com/1999-4893/15/7/221

Internet

https://www.mdpi.com/1999-4893/15/7/221

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