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How current optical music recognition systems are becoming useful for digital libraries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390148" target="_blank" >RIV/00216208:11320/18:10390148 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11210/18:10390148

  • Result on the web

    <a href="https://dl.acm.org/citation.cfm?id=3273034" target="_blank" >https://dl.acm.org/citation.cfm?id=3273034</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3273024.3273034" target="_blank" >10.1145/3273024.3273034</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    How current optical music recognition systems are becoming useful for digital libraries

  • Original language description

    Optical Music Recognition (OMR) promises to make large collections of sheet music searchable by their musical content. It would open up novel ways of accessing the vast amount of written music that has never been recorded before. For a long time, OMR was not living up to that promise, as its performance was simply not good enough, especially on handwritten music or under non-ideal image conditions. However, OMR has recently seen a number of improvements, mainly due to the advances in machine learning. In this work, we take an OMR system based on the traditional pipeline and an end-to-end system, which represent the current state of the art, and illustrate in proof-of-concept experiments their applicability in retrieval settings. We also provide an example of a musicological study that can be replicated with OMR outputs at much lower costs. Taken together, this indicates that in some settings, current OMR can be used as a general tool for enriching digital libraries.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 5th International Conference on Digital Libraries for Musicology

  • ISBN

    978-1-4503-6522-2

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    57-61

  • Publisher name

    ACM

  • Place of publication

    New York, NY, USA

  • Event location

    Paris, France

  • Event date

    Sep 28, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article