Jordanous, Anna (2010) The Realisation of Creativity in Artificial Music Improvisation and Interpretation. In: Empirical Musicology II, 2010, Leeds, UK. (Unpublished) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:42895)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://music.leeds.ac.uk/files/2012/06/Empirical-M... |
Abstract
How is creativity manifested in improvisation? And how do musicians interpret music in a creative
way? We have an intuitive understanding of the concept of creativity that we can use introspectively to
suggest answers to these questions, both in theory and during performance. If, though, we want to
program a computer to generate music in a creative way, the computer does not understand what
creativity is. We cannot ask the computer to behave creatively unless we also give some definition of
what such behaviour entails. So the problem becomes: how to define what musical creativity is to a
computer.
This work uses empirical methods borrowed from linguistics to capture the words which we strongly
associate with creativity. An analysis of the language used in dictionary definitions and academic
papers on creativity, as compared to everyday language use, has produced a list of words which we
commonly use to discuss creativity, e.g. innovation, openness, divergent. Considering these words in
the context of music improvisation and interpretation, I derive key attributes of creativity in this
musical domain which can be used to guide an artificially intelligent musical system towards
generating creative musical behaviour.
Item Type: | Conference or workshop item (Lecture) |
---|---|
Subjects: |
B Philosophy. Psychology. Religion > BF Psychology M Music and Books on Music > M Music P Language and Literature > P Philology. Linguistics Q Science > Q Science (General) > Q335 Artificial intelligence |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Anna Jordanous |
Date Deposited: | 10 Sep 2014 12:25 UTC |
Last Modified: | 16 Nov 2021 10:17 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/42895 (The current URI for this page, for reference purposes) |
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