Jordanous, Anna, Keller, Bill (2012) What makes a musical improvisation creative? Journal of Interdisciplinary Music Studies, 6 (2). pp. 151-175. ISSN 1307-0401. E-ISSN 1306-9055. (doi:10.4407/jims.2014.02.003) (KAR id:42389)
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Abstract
Background in musical improvisation and creativity. What makes musical improvisation
creative? And what exactly is it that justifies one improviser being described as more creative
than another? For a clearer understanding, it is a practical necessity to use an approach such as
those of Berliner (1994) and Gibbs (2010), who make the study of improvisational creativity
more tangible by identifying key constituent parts, rather than treat creativity as ineffable
(Bailey 1993).
Background in computational linguistics. The log likelihood ratio statistic can be used to
compare two sets of texts (corpora) to examine word distribution patterns (Rayson & Garside
2000, Dunning 1993). Using this statistic, words are identified which are associated with
academic papers on creativity. Lin’s similarity measure (Lin 1998) is then used as a basis for
clustering words with similar meanings using the algorithm Chinese Whispers (Biemann 2006).
Analysis of the clusters reveals fourteen key components of creativity.
Aims. To model creativity in musical improvisation by identifying components of creativity
using computational linguistics techniques and understanding how each contributes to
creativity in improvisation.
Main contribution. The paper presents an empirical, language-based approach to
understanding creativity in musical improvisation. This approach is based upon treating
creativity as having common features that transcend different types of creativity but that vary in
importance depending on the type of creativity. Fourteen key components of creativity are
identified from an analysis of a corpus of texts on creativity. A study is then conducted to
investigate the relative importance of each of these components in musical improvisational. All
fourteen components are considered relevant to some degree, but particular significance is
attached to three of them: the ability to communicate and interact, the possession of relevant
musical knowledge and skills, and emotional engagement and intention. It is notable that the
products of improvisation are relatively less important than these process-based aspects.
Implications. The work provides a model of musical improvisational creativity as a set of
guidelines or benchmarks for evaluating how creative a musical improviser is. Such a detailed
understanding helps improvisers identify what areas to work on in order to develop their
creativity (Gibbs 2010).
Item Type: | Article |
---|---|
DOI/Identification number: | 10.4407/jims.2014.02.003 |
Uncontrolled keywords: | improvisation, musical improvisation creativity, empirical methods, log likelihood ratio statistic, computational linguistics, creativity evaluation |
Subjects: |
M Music and Books on Music > M Music 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: | 18 Aug 2014 10:45 UTC |
Last Modified: | 05 Nov 2024 10:26 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/42389 (The current URI for this page, for reference purposes) |
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