A Starting Point for Handwritten Music Recognition

Jul 12, 2018 ISMIR 2018 WoRMS Submission readers: everyone
  • Abstract: 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.
  • Keywords: Optical Music Recognition, Long Short-Term Memory, Convolutional Neural Networks, MUSCIMA++, CVC-MUSCIMA
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