Note sequence morphing algorithms for performance of electronic dance music
This paper describes algorithms that can musically augment the realtime performance of electronic dance music by generating new musical material by morphing. Note sequence morphing involves the algorithmic generation of music that smoothly transitions between two existing musical segments. The potential of musical morphing in electronic dance music is outlined and previous research is summarised; including discussions of relevant music theoretic and algorithmic concepts. An outline and explanation is provided of a novel Markov morphing process that uses similarity measures to construct transition matrices. The paper reports on a ‘focus-concert’ study used to evaluate this morphing algorithm and to compare its output with performances from a professional DJ. Discussions of this trial include reflections on some of the aesthetic characteristics of note sequence morphing. The research suggests that the proposed morphing technique could be effectively used in some electronic dance music contexts.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Journal Article|
|Additional Information:||Author Posting. (c) Rene Wooller and Andrew R Brown, 2011. This is the author's version of the work. It is posted here by permission of Rene Wooller and Andrew R Brown for personal use, not for redistribution. The definitive version was published in Digital Creativity, Volume 22 Issue 1, March 2011. doi:10.1080/14626268.2011.538704 (http://dx.doi.org/10.1080/14626268.2011.538704)|
|Keywords:||computer music, morphing, electronic dance music, generative, morph|
|Subjects:||Australian and New Zealand Standard Research Classification > STUDIES IN CREATIVE ARTS AND WRITING (190000) > FILM TELEVISION AND DIGITAL MEDIA (190200)|
Australian and New Zealand Standard Research Classification > STUDIES IN CREATIVE ARTS AND WRITING (190000) > PERFORMING ARTS AND CREATIVE WRITING (190400) > Music Composition (190406)
|Divisions:||Current > QUT Faculties and Divisions > Creative Industries Faculty|
Current > Schools > Music & Sound
|Copyright Owner:||Copyright 2011 Taylor & Francis|
|Copyright Statement:||This is an electronic version of an article published in [Digital Creativity, 22(1), pp. 13-25]. [Digital Creativity] is available online at informaworld.|
|Deposited On:||05 May 2011 09:10|
|Last Modified:||04 Jun 2012 18:54|
Repository Staff Only: item control page