Uploaded August 2019 | Updated September 2026, 1 week ago
CeReNeM post-graduate candidate James Bradbury discusses the development of code to model micro and macro compositional decisions through the use of the annealing algorithm applied to a Fourses synthesiser
https://jamesbradbury.xyz/
electricspring.co.uk
research.hud.ac.uk/institutes-centres/cerenem/projects/creativecodinglab
Presented as part of the Electric Spring, Creative Coding Lab Symposium 2019
Recorded and edited by Sam Gillies
// Abstract
In this talk I will discuss an approach to composing in which code models micro- and macroscopic compositional decisions. The tension between these temporal scales and to what extent they ‘talk’ to each other in the creative process has been an increasing concern for my practice, especially as computers have become integrated as decision makers and compositional aids. To discuss these themes, I will give some insight into a piece ‘Annealing Strategies’ composed in mid-2018.
// Bio
I am an Australian composer who is originally from Perth, WA. I enjoy creating musical systems that vivify the behaviours of computers and machines, at times involving other musicians in this process. A primary interest of mine is to embrace the complexity and non-human nature of modern computing as an integral feature of my work’s aesthetic. These creations often assume a role that is more than just that of a facilitator, tending toward a type of composer in and of itself. This intersection of the system and my own intentions is a rich territory of exploration in which new ideas are discovered, proliferated and developed in novel ways. As of 2017, I am a PhD student under the supervision of Alex Harker and Steven Jan at the University of Huddersfield.
CeReNeM post-graduate candidate James Bradbury discusses the development of code to model micro and macro compositional decisions through the use of the annealing algorithm applied to a Fourses synthesiser
https://jamesbradbury.xyz/
electricspring.co.uk
research.hud.ac.uk/institutes-centres/cerenem/projects/creativecodinglab
Presented as part of the Electric Spring, Creative Coding Lab Symposium 2019
Recorded and edited by Sam Gillies
// Abstract
In this talk I will discuss an approach to composing in which code models micro- and macroscopic compositional decisions. The tension between these temporal scales and to what extent they ‘talk’ to each other in the creative process has been an increasing concern for my practice, especially as computers have become integrated as decision makers and compositional aids. To discuss these themes, I will give some insight into a piece ‘Annealing Strategies’ composed in mid-2018.
// Bio
I am an Australian composer who is originally from Perth, WA. I enjoy creating musical systems that vivify the behaviours of computers and machines, at times involving other musicians in this process. A primary interest of mine is to embrace the complexity and non-human nature of modern computing as an integral feature of my work’s aesthetic. These creations often assume a role that is more than just that of a facilitator, tending toward a type of composer in and of itself. This intersection of the system and my own intentions is a rich territory of exploration in which new ideas are discovered, proliferated and developed in novel ways. As of 2017, I am a PhD student under the supervision of Alex Harker and Steven Jan at the University of Huddersfield.




![Alex Harker: Meaningless Numbers? Using Audio Descriptors in a Musical Manner [30.10.2018]
Alex Harker talks about the use of audio descriptors in creative work. He examines what audio descriptors are, and how they can be used to control realtime processes or aid the construction of music from sample databases. The topic is examined from both a technical viewpoint and a musical one, with a particular highlight on the issues that arise from naïve assumptions about what might occur when we apply descriptor analysis to real world musical situations, even those which might seem simple.
http://www.alexanderjharker.co.uk/
https://research.hud.ac.uk/institutes-centres/cerenem/projects/creativecodinglab/
References:
Peeters, G. (2004). A large set of audio features for sound description (similarity and classification) in the CUIDADO project:
http://recherche.ircam.fr/anasyn/peeters/ARTICLES/Peeters_2003_cuidadoaudiofeatures.pdf
CataRT website:
http://imtr.ircam.fr/imtr/CataRT
CataRT demonstration:
https://www.youtube.com/watch?v=cWXdTlu_n44
Ben Hackbarths audioGuide:
http://www.benhackbarth.com/audioGuide/
Stefano Fascianis Real Time Voice Control of Instruments:
https://stefanofasciani.com/?p=85
Stefano Fascianis Timbral Space of Synthesizers:
https://stefanofasciani.com/?p=1216
Thomas Grills Perceptually Motivated and Validated Descriptors for Texture:
http://grrrr.org/pub/grill-2012-ofai-slides.pdf
http://grrrr.org/data/research/texmap/ Alex Harker: Meaningless Numbers? Using Audio Descriptors in a Musical Manner [30.10.2018]](https://i.ytimg.com/vi/Sh7LvH39dsY/mqdefault.jpg)


![Alex Harker: Optimising for Real Time [26.10.2017]
Dr Alex Harker discusses optimising DSP code for realtime processing, with a particular focus on devices and objects for Max/MSP and Max4Live at CeReNeMs Creative Coding Lab.
https://pure.hud.ac.uk/en/persons/alex-harker
http://www.alexanderjharker.co.uk/
https://research.hud.ac.uk/institutes-centres/cerenem/projects/creativecodinglab/
http://www.cerenem.org/ Alex Harker: Optimising for Real Time [26.10.2017]](https://i.ytimg.com/vi/U9c3SJRoqJE/mqdefault.jpg)


![Prof Aaron Cassidy: Imagining a Non-Geometrical Rhythm [23.03.2015]
Aaron Cassidys inaugural professorial lecture, given at the University of Huddersfield on 25.03.15.
Aaron is professor of composition, research co-ordinator, director of PhD studies and member of CeReNeM, the Centre for Research in New Music at the university. He joined the department in 2007.
http://aaroncassidy.com/
https://pure.hud.ac.uk/en/persons/aaron-cassidy
http://www.cerenem.org/ Prof Aaron Cassidy: Imagining a Non-Geometrical Rhythm [23.03.2015]](https://i.ytimg.com/vi/Va62zpUMIoE/mqdefault.jpg)