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A Starting Point for Handwritten Music Recognition
Arnau Baro, Pau Riba and Alicia Fornes. 2018. A Starting Point for Handwritten Music Recognition. 1st International Workshop on Reading Music Systems.5–6.
In the last years, the interest in Optical Music Recognition (OMR) has reawakened, especially since the appearance of deep learning. However, there are very few works addressing handwritten scores. In this work we describe a full OMR pipeline for handwritten music scores by using Convolutional and Recurrent Neural Networks that could serve as a baseline for the research community.
A Starting Point for Handwritten Music RecognitionArnau BaroPau RibaAlicia Fornesopenurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=proceeding&title=A%20Starting%20Point%20for%20Handwritten%20Music%20Recognition&date=2018&spage=5&epage=6&aulast=Arnau%20Baro&au=Pau%20Riba&au=Alicia%20Fornes&sid=refbase%3ACVCArnau Baro, Pau Riba and Alicia Fornes. 2018. A Starting Point for Handwritten Music Recognition. 1st International Workshop on Reading Music Systems.5-6.2018ConferencePapertextOptical Music RecognitionLong Short-Term MemoryConvolutional Neural NetworksMUSCIMA++CVCMUSCIMAfile:http://refbase.cvc.uab.es/files/BRF2018.pdf1st International Workshop on Reading Music Systems201856