%0 Journal Article
%T From Optical Music Recognition to Handwritten Music Recognition: a Baseline
%A Arnau Baro
%A Pau Riba
%A Jorge Calvo-Zaragoza
%A Alicia Fornes
%J Pattern Recognition Letters
%D 2019
%V 123
%F Arnau Baro2019
%O DAG; 600.097; 601.302; 601.330; 600.140; 600.121
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3275), last updated on Tue, 24 Nov 2020 10:15:22 +0100
%X Optical Music Recognition (OMR) is the branch of document image analysis that aims to convert images of musical scores into a computer-readable format. Despite decades of research, the recognition of handwritten music scores, concretely the Western notation, is still an open problem, and the few existing works only focus on a specific stage of OMR. In this work, we propose a full Handwritten Music Recognition (HMR) system based on Convolutional Recurrent Neural Networks, data augmentation and transfer learning, that can serve as a baseline for the research community.
%U https://doi.org/10.1016/j.patrec.2019.02.029
%P 1-8