Fully Automatic Page Turning on Real Scores

Autor:	Henkel, Florian, Schwaiger, Stephanie, Widmer, Gerhard
Rok vydání:	2021
Předmět:	Computer Science - Sound Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: ISMIR 2021 Late Breaking/Demo
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2111.06643 Zobrazit plný text záznamu View this record from Arxiv