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Author Arnau Baro; Pau Riba; Alicia Fornes edit   pdf
  Title A Starting Point for Handwritten Music Recognition Type Conference Article
  Year 2018 Publication 1st International Workshop on Reading Music Systems Abbreviated Journal  
  Volume Issue (up) Pages 5-6  
  Keywords Optical Music Recognition; Long Short-Term Memory; Convolutional Neural Networks; MUSCIMA++; CVCMUSCIMA  
  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.  
  Address Paris; France; September 2018  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference WORMS  
  Notes DAG; 600.097; 601.302; 601.330; 600.121 Approved no  
  Call Number Admin @ si @ BRF2018 Serial 3223  
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