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Author Arnau Baro; Pau Riba; Alicia Fornes
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 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
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Area Expedition Conference (up) WORMS
Notes DAG; 600.097; 601.302; 601.330; 600.121 Approved no
Call Number Admin @ si @ BRF2018 Serial 3223
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