A Music Score Segmentation Method Based on Deconstruction And Reconstruction

Abstract Optical music recognition (OMR), which focus on digitizing and translating music score images, has been studied for some decades. However, some OMR processing, which is aimed at recognizing a whole music score image, still has low accuracy. We propose DAR, a music score segmentation method based on deconstruction and recon- struction, by which measures can be extracted through a series of operations instead of a single model, which can improve accuracy without a large amount of data. We also introduce a method to determine the accuracy of measure segmentation, which can show the advantage of our method.