• Corpus ID: 244103019

Fully Automatic Page Turning on Real Scores

@article{Henkel2021FullyAP,
  title={Fully Automatic Page Turning on Real Scores},
  author={Florian Henkel and Stephanie Schwaiger and Gerhard Widmer},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.06643}
}

• Florian Henkel, Stephanie Schwaiger, G. Widmer
• Published 12 November 2021
• Computer Science
• ArXiv

We present a prototype of an automatic page turning system that works directly on real scores, i.e., sheet images, without any symbolic representation. Our system is based on a multi-modal neural network architecture that observes a complete sheet image page as input, listens to an incoming musical performance, and predicts the corresponding position in the image. Using the position estimation of our system, we use a simple heuristic to trigger a page turning event once a certain location within the sheet image is reached. As a proof of concept we further combine our system with an actual machine that will physically turn the page on command.