Synthesizing Training Data for Handwritten Music Recognition
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-86334-0_41
Reference28 articles.
1. Baró, A., Badal, C., Fornés, A.: Handwritten historical music recognition by sequence-to-sequence with attention mechanism. In: 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), Dortmund, Germany, pp. 205–210 (2020)
2. Baró, A., Riba, P., Calvo-Zaragoza, J., Fornés, A.: From optical music recognition to handwritten music recognition: a baseline. Pattern Recogn. Lett. 123, 1–8 (2019)
3. Baró, A., Riba, P., Fornés, A.: Towards the recognition of compound music notes in handwritten music scores. In: 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, China, pp. 465–470 (2016)
4. Calvo-Zaragoza, J., Castellanos, F., Vigliensoni, G., Fujinaga, I.: Deep neural networks for document processing of music score images. Appl. Sci. 8(5), 654 (2018)
5. Calvo-Zaragoza, J., Hajič, J., Jr., Pacha, A.: Understanding optical music recognition. ACM Comput. Surv. 53(4), 77 (2020)
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