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Optical Music Recognition by Long Short-Term Memory Networks
Arnau Baro, Pau Riba, Jorge Calvo-Zaragoza and Alicia Fornes. 2018. Optical Music Recognition by Long Short-Term Memory Networks. In A. Fornes, B.L., ed. Graphics Recognition. Current Trends and Evolutions. Springer, 81–95. (LNCS.)
Optical Music Recognition refers to the task of transcribing the image of a music score into a machine-readable format. Many music scores are written in a single staff, and therefore, they could be treated as a sequence. Therefore, this work explores the use of Long Short-Term Memory (LSTM) Recurrent Neural Networks for reading the music score sequentially, where the LSTM helps in keeping the context. For training, we have used a synthetic dataset of more than 40000 images, labeled at primitive level. The experimental results are promising, showing the benefits of our approach.
Optical Music Recognition by Long Short-Term Memory NetworksArnau BaroPau RibaJorge Calvo-ZaragozaAlicia FornesA. Fornes, B.L.info:doi/10.1007/978-3-030-02284-6_7urn:ISBN:978-3-030-02283-9openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=bookitem&atitle=Optical%20Music%20Recognition%20by%20Long%20Short-Term%20Memory%20Networks&title=Graphics%20Recognition.%20Current%20Trends%20and%20Evolutions&btitle=Graphics%20Recognition.%20Current%20Trends%20and%20Evolutions&isbn=978-3-030-02283-9&date=2018&volume=11009&spage=81&epage=95&aulast=Arnau%20Baro&au=Pau%20Riba&au=Jorge%20Calvo-Zaragoza&au=Alicia%20Fornes&pub=Springer&id=info%3Adoi%2F10.1007%2F978-3-030-02284-6_7&sid=refbase%3ACVCArnau Baro, Pau Riba, Jorge Calvo-Zaragoza and Alicia Fornes. 2018. Optical Music Recognition by Long Short-Term Memory Networks. In A. Fornes, B.L., ed. Graphics Recognition. Current Trends and Evolutions. Springer, 81-95. (LNCS.)LNCS2018BookChaptertextOptical Music RecognitionRecurrent Neural NetworkLong ShortTerm Memoryfile:http://refbase.cvc.uab.es/files/BRC2018.pdfSpringerGraphics Recognition. Current Trends and Evolutions2018110098195