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14th workshop gRFIA

2nd International Workshop on Reading Music Systems


Delft, November 2

12th international workshop on Machine Learning and Music


Würzburg (Germany): September 16, 2019



  1. L. Micó, J. Oncina & J.M. Iñesta
    "Adaptively Learning to Recognize Symbols in Handwritten Early Music"
    Machine Learning and Knowledge Discovery in Databases, ISBN: 978-3-030-43887-6, pp. 470--477 (2020)
    : bibtex

    Human supervision is necessary for a correct edition and publication of handwritten early music collections. The output of an optical music recognition system for that kind of documents may contain a significant number of errors, making it tedious to correct for a human expert. An adequate strategy is needed to optimize the human feedback information during the correction stage to adapt the classifier to the specificities of each manuscript. In this paper, we compare the performance of a neural system, difficult and slow to be retrained, and a nearest neighbor strategy, based on the neural codes provided by a neural net, trained offline, used as a feature extractor.

@inbook {
 author = "L. Micó, J. Oncina & J.M. Iñesta",
 title  = "Adaptively Learning to Recognize Symbols in Handwritten Early Music",
 booktitle = "Machine Learning and Knowledge Discovery in Databases",
 chapter = "40",
 editor = "Cellier, Peggy, Driessens, Kurt",
 isbn = "978-3-030-43887-6",
 pages = "470--477",
 publisher = "Springer",
 year = "2020"
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