Using factor oracles for machine improvisation
We describe variable markov models we have used for statistical learning of musical sequences, then we present the factor oracle, a data structure proposed by Crochemore & al for string matching. We show the relation between this structure and the previous models and indicate how it can be adapted for learning musical sequences and generating improvisations in a real-time context.
factor oracle improvisation variable markov models machine learning computer music suffix trees prediction suffix trees incremental parsing