A SYSTEM FOR MUSICAL IMPROVISATION COMBINING SONIC GESTURE RECOGNITION AND GENETIC ALGORITHMS

Publication Type:

Conference Paper

Source:

SMC Conference 2009 (2009)

URL:

files/proceedings/2009/316.pdf

Abstract:

This paper describes a novel system that combines machine listening with evolutionary algorithms. The focus is on free improvisation, wherein the interaction between player, sound recognition and the evolutionary process provides an over- all framework that guides the improvisation. The project is also distinguished by the close attention paid to the nature of the sound features, and the influence of their dynamics on the resultant sound output. The particular features for sound analysis were chosen in order to focus on timbral and textural sound elements, while the notion of “sonic gesture” is used as a framework for the note-level recognition of per- former’s sound output, using a Hidden Markov Model based approach. The paper discusses the design of the system, the underlying musical philosophy that led to its construction as well as the boundary between system and composition, citing a recent composition as an example application.