Automatic Page Turning for Musicians via Real-Time Machine Listening

Authors:
Andreas Arzt;Gerhard Widmer;Simon Dixon
Affiliations:
Department of Computational Perception, Johannes Kepler University, Linz, Austria;Department of Computational Perception, Johannes Kepler University, Linz, Austria and Austrian Research Institute for Artificial Intelligence, Vienna, Austria;Department of Electronic Engineering, Queen Mary, University of London
Venue:
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Year:
2008

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Abstract

We present a system that automatically turns the pages of the music score for musicians during a performance. It is based on a new algorithm for following an incoming audio stream in real time and aligning it to a music score (in the form of a synthesised audio file). Precision and robustness of the algorithm are quantified in systematic experiments, and a demonstration using an actual page turning machine built by an Austrian company is described.