Here you can find my dissertation Self-Learning Optical Music Recognition as well as the individual publications and talks that originated from my doctoral research or are related to Optical Music Recognition:
- Klaus Rettinghaus, Alexander Pacha: Building A Comprehensive Sheet Music Library App. Proceedings of the Music Encoding Conference 2021, Alicante, Spain, 2021. Accompanying presentation slides.
- Alexander Pacha: The Challenge of Reconstructing Digits in Music Scores. Proceedings of the 3rd International Workshop on Reading Music Systems, Alicante, Spain, 2021. Accompanying presentation slides.
- Lukas Tuggener, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, Thilo Stadelmann: The DeepScoresV2 Dataset and Benchmark for Music Object Detection. International Conference on Pattern Recognition (ICPR), Milan, Italy, 2020. Dataset download
- Jorge Calvo-Zaragoza, Jan Hajič jr., Alexander Pacha: Understanding Optical Music Recognition. ACM Computing Surveys 53, 4 Article 77, 2020. DOI:10.1145/3397499, Arxiv.org
- Alexander Pacha: Incremental Supervised Staff Detection. Proceedings of the 2nd International Workshop on Music Reading Systems, Delft, 2019. Accompanying presentation slides.
- Simon Waloschek, Aristotelis Hadjakos, Alexander Pacha: Identification and Cross-Document Alignment of Measures in Music Score Images. Proceedings of the 20th ISMIR Conference, Delft, 2019. Video of the presentation.
- Alexander Pacha, Jan Hajič jr., Jorge Calvo-Zaragoza: Learning Notation Graph Construction for Full-Pipeline Optical Music Recognition. Proceedings of the 20th ISMIR Conference, Delft, 2019. Accompanying presentation slides as well as the poster and video.
- Simon Waloschek, Axel Berndt, Aristotelis Hadjakos, Alexander Pacha: A Showcase of New MEI Tools, Music Encoding Conference, Vienna, 2019.
- Jorge Calvo-Zaragoza, Jan Hajič jr., Alexander Pacha: Discussion Group Summary: Optical Music Recognition (PDF), Graphics Recognition, Current Trends and Evolutions, 2018.
- Jorge Calvo-Zaragoza, Jan Hajič jr., Alexander Pacha, Ichiro Fujinaga: Optical Music Recognition for Dummies, Tutorial at the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Paris, 2018.
- Alexander Pacha, Jan Hajič jr., Jorge Calvo-Zaragoza: A Baseline for General Music Object Detection with Deep Learning. Applied Sciences, 8, 1383, 2018.
- Alexander Pacha: Advancing OMR As a Community – Best Practices for Reproducible Research, 1st International Workshop on Reading Music Systems, Paris 2018. Accompanying presentation slides.
- Jan Hajič Jr., Marta Kolárová, Alexander Pacha and Jorge Calvo-Zaragoza: How Current Optical Music Recognition Systems Are Becoming Useful for Digital Libraries, 5th International Conference on Digital Libraries for Musicology, Paris 2018.
- Alexander Pacha, Jorge Calvo-Zaragoza: Optical Music Recognition in Mensural Notation with Region-Based Convolutional Neural Networks. Proceedings of the 19th ISMIR Conference, Paris, 2018. Accompanying presentation slides in 4:3 and 16:9 as well as the poster.
- Alexander Pacha: Self-Learning Optical Music Recognition. Proceedings of the Vienna Young Scientists Symposium 2018, Vienna, 2018. Accompanying presentation slides.
- Alexander Pacha, Kwon-Young Choi, Bertrand Coüasnon, Yann Ricquebourg, Richard Zannibi, Horst Eidenberger: Handwritten Music Object Detection: Open Issues and Baseline Results. Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, Vienna, April 2018. Accompanying presentation slides.
- Alexander Pacha, Horst Eidenberger: Towards Self-Learning Optical Music Recognition. Proceedings of the 16th IEEE International Conference on Machine Learning And Applications, Cancún, Mexico, December 2017. Accompanying poster from the conference.
- Alexander Pacha, Horst Eidenberger: Towards a Universal Music Symbol Classifier. Proceedings of the 12th IAPR International Workshop on Graphics Recognition, Kyoto, Japan, November 2017. Accompanying presentation slides.
Here is a general list of publications that I have worked on
- Experience report for the book “Traumjob IT”.
- My presentation, I gave at the Zühlke Roundtable “Artificial Intelligence”.
- 1,2,3 – Build! – Continuous Integration for Mobile Applications – Alexander Pacha – SQD 2017
- Master thesis “Sensor fusion for robust outdoor Augmented Realty tracking on mobile devices”
- Quality assurance for data from low-tech participants in distributed automation engineering environments, DOI
- Bachelor thesis “Revision Control for Excel” at the TU Wien
- Graduation thesis from school “MPZ MusicBuddy” (Self-learning music-recommendation software)
- Matura-newspaper from school
Alexander Pacha 