Demonstration of Music Plus One - A Real-Time System for Automatic Orchestral Accompaniment
Abstract
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-
Cite
Text
Raphael. "Demonstration of Music Plus One - A Real-Time System for Automatic Orchestral Accompaniment." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Raphael. "Demonstration of Music Plus One - A Real-Time System for Automatic Orchestral Accompaniment." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/raphael2006aaai-demonstration/)BibTeX
@inproceedings{raphael2006aaai-demonstration,
title = {{Demonstration of Music Plus One - A Real-Time System for Automatic Orchestral Accompaniment}},
author = {Raphael, Christopher},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {1951-1952},
url = {https://mlanthology.org/aaai/2006/raphael2006aaai-demonstration/}
}