RealScore – Scanning of Real-World Sheet Music for a Digital Music Stand
Description
ScorePad’s sheet music scanning service works for high quality input; to scale up business, it should work as well for smartphone pictures, used sheets etc. Project RealScore enhances the successful predecessor project by making deep learning adapt to unseen data through unsupervised learning.
Key Data
Co-Projectlead
Project team
Raphael Emberger, Adhiraj Ghosh, Dr. Javier Montoya, Pascal Sager, Yvan Putra Satyawan, Lukas Tuggener
Project partners
ScorePad AG
Project status
completed, 09/2019 - 05/2022
Funding partner
Innovationsprojekt / Projekt Nr. 34301.1 IP-ICT
Project budget
870'000 CHF
Further documents and links
Publications
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Real world music object recognition
2024 Tuggener, Lukas; Emberger, Raphael; Ghosh, Adhiraj; Sager, Pascal; Satyawan, Yvan Putra; Montoya, Javier; Goldschagg, Simon; Seibold, Florian; Gut, Urs; Ackermann, Philipp; Schmidhuber, Jürgen; Stadelmann, Thilo
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Is it enough to optimize CNN architectures on ImageNet?
2022 Tuggener, Lukas; Schmidhuber, Jürgen; Stadelmann, Thilo
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The DeepScoresV2 dataset and benchmark for music object detection
2021 Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo