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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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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
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