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Diplomatic edition of Il Lauro secco: Ground truth for OMR of white mensural notation

  • University Hospital Augsburg
  • Universidad Complutense de Madrid
  • Imperial College London

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

Early musical sources in white mensural notation-the most common notation in European printed music during the Renaissance-are nowadays preserved by libraries worldwide trough digitalisation. Still, the application of music information retrieval to this repertoire is restricted by the use of digitalisation techniques which produce an uncodified output. Optical Music Recognition (OMR) automatically generates a symbolic representation of imagebased musical content, thus making this repertoire reachable from the computational point of view; yet, further improvements are often constricted by the limited ground truth available. We address this lacuna by presenting a symbolic representation in original notation of Il Lauro Secco, an anthology of Italian madrigals in white mensural notation. For musicological analytic purposes, we encoded the repertoire in ∗∗mens and MEI formats; for OMR ground truth, we automatically codified the repertoire in agnostic and semantic formats, via conversion from the ∗∗mens files.

Original languageEnglish
Title of host publicationProceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019
EditorsArthur Flexer, Geoffroy Peeters, Julian Urbano, Anja Volk
PublisherInternational Society for Music Information Retrieval
Pages557-564
Number of pages8
ISBN (Electronic)9781732729919
StatePublished - 2019
Externally publishedYes
Event20th International Society for Music Information Retrieval Conference, ISMIR 2019 - Delft, Netherlands
Duration: 4 Nov 20198 Nov 2019

Publication series

NameProceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019

Conference

Conference20th International Society for Music Information Retrieval Conference, ISMIR 2019
Country/TerritoryNetherlands
CityDelft
Period4/11/198/11/19

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