Speaker
Affilliation
Sussex
Abstract
In the emerging field of empirical creativity, new artifacts (e.g., drum rhythms) are generated from models culled from one or more existing artifacts. Applied to music, this approach often involves use of Markov models. But these may be insensitive to the global, hierarchical properties that are particularly significant for music. The talk introduces the *hierarchical* Markov model and shows how it enables both large-scale and small-scale properties to be captured in a uniform way. It also presents some examples illustrating application of the approach to melodic sequences.