"Studying a Creative Act with Computers: Music Performance Studies with Automated Discovery Methods"
, in Irène Deliège, in Musicae Scientiae, Vol. IX, Nummer 1, Seite(n) 11-30, 2005, ISSN: 1029-8649
Studying a Creative Act with Computers: Music Performance Studies with Automated Discovery Methods
Sprache des Titels:
The purpose of this article is to demonstrate how advanced computer methods may be
able to provide new insights into a complex creative activity such as music performance.
The context is an inter-disciplinary research project in which Artificial Intelligence (AI)
methods are used to analyse patterns in performances by human artists. In asking how the
computer can take us closer to an understanding of creativity in music performance, we
identify two pertinent research strategies within our project: the use of machine learning
algorithms that try to discover common performance principles and thus help separate the
‘rationally explainable’ aspects of performance from the more genuinely ‘creative’ ones,
and the use of data mining methods that can discover, visualise and describe performance
patterns that seem to be characteristic of the style of particular artists and thus may be
more directly related to their individual creativity. Some preliminary results are briefly
presented that are indicative of the kinds of discoveries these algorithms can make. Some
general issues regarding (musical) creativity and its relation to Artificial Intelligence are
also briefly discussed.