Florian Henkel, Stephanie Schwaiger, Gerhard Widmer,
"Fully Automatic Page Turning on Real Scores"
: 22nd International Society for Music Information Retrieval Conference, in ISMIR Late-Breaking Demo Session, 2021
Original Titel:
Fully Automatic Page Turning on Real Scores
Sprache des Titels:
Englisch
Original Buchtitel:
22nd International Society for Music Information Retrieval Conference
Original Kurzfassung:
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.
Forschungs-