Music Plus One and Machine Learning

12 years 3 months ago
Music Plus One and Machine Learning
A system for musical accompaniment is presented in which a computer-driven orchestra follows and learns from a soloist in a concerto-like setting. The system is decomposed into three modules: the first computes a real-time score match using a hidden Markov model; the second generates the output audio by phase-vocoding a preexisting audio recording; the third provides a link between these two, by predicting future timing evolution using a Kalman filter-like model. Several examples are presented showing the system in action in diverse musical settings. Connections with machine learning are highlighted, showing current weaknesses and new possible directions.
Christopher Raphael
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2010
Where ICML
Authors Christopher Raphael
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