Orchestral Accompaniment for a Reproducing Piano
Christopher S. Raphael, Yupeng Gu · University of Michigan Library Repository · 2009
A system that generates flexible orchestral accompaniment of a computer-enabled piano is presented and demonstrated.We introduce a probabilistic model for the piano data that can be used for on-line and off-line estimation of the piano performance.The model is automatically trainable to the specific performer and piece under consideration.The on-line position estimates form the observable data for a trainable prediction engine that anticipates the future evolution of the performance.These ongoing predictions drive a phase-vocoded audio performance of the orchestra.We present results on a highly challenging gem from the Romantic piano concerto repertoire.