Advancing OMR as a Community: Best Practices for Reproducible Research

By Alexander Pacha

Abstract

Optical Music Recognition has been under investigation for over 60 years but remains an unsolved problem, because research happens distributedly, often without reusability in mind. As scientists, it should be one of the goals to share knowledge in a way, that it becomes accessible and useful for someone else to build on top. Without that, one´s effort is often doomed to rot in a drawer. To oppose this development, not only the paper, but also the source code, datasets, and executables should be made publicly available for the community to finally advance beyond the state, where the wheel is reinvented every time a new researcher joins the field.

Reference

A. Pacha: "Advancing OMR as a Community: Best Practices for Reproducible Research"; Talk: 1st International Workshop on Reading Music Systems, Paris, France; 09-20-2018; in: "Proceedings of the 1st International Workshop on Reading Music Systems", (2018), 19 - 20.

BibTeX

@inproceedings{TUW-271933,     author = {Pacha, Alexander},     title = {Advancing OMR as a Community: Best Practices for Reproducible Research},     booktitle = {Proceedings of the 1st International Workshop on Reading Music Systems},     year = {2018},     pages = {19--20},     url = {https://publik.tuwien.ac.at/files/publik_271933.pdf},     keywords = {optical music recognition; reproducible research},     note = {talk: 1st International Workshop on Reading Music Systems, Paris, France; 2018-09-20} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.