Demonstration of music plus one: a real-time system for automatic orchestral accompaniment
Christopher S. Raphael · 2006
We demonstrate a system that creates a real-time ac-companiment for a live musician performing a non-improvisatory piece of music. The system listens to the live player by performing a hidden Markov model analysis of the player’s acoustic signal. A belief net-work uses this information, a musical score, and past rehearsals, to create a sequence of evolving predictions for future note-onsets in the soloist and accompani-ment. These predictions are used to guide the time-stretched resynthesis of prerecorded orchestral audio using a phase vocoder. Past work on musical accompaniment systems (Dan-