Research Catalogue

About this exposition

This exposition reflects on how machine learning can be integrated with algorithmic composition and live coding to expand digital music creation. The research examines how ML-driven sound analysis, training data, and interactive models reshape compositional workflows. By viewing machine learning as an interpretative and generative process rather than a mere tool, this project challenges conventional boundaries between data gathering, system design, and artistic practice. The discussion is framed through speculative approaches that merge sound synthesis, live coding, and model training, questioning how algorithmic systems can act as both agents of composition and reflective mirrors of musical intention. Through the interplay of structured data, generative models, and exploratory workflows, the study situates machine learning within a broader conversation about creativity, computation, and the evolving role of the composer-programmer.

type	research exposition
keywords	machine learning, live coding, sound synthesis
date	07/02/2025
last modified	22/02/2025
status	in progress
share status	private
affiliation	Royal Conservatory Den Haag / Institute of Sonology
copyright	Bjarni Gunnarsson
license	CC BY-NC-ND
language	English
url	https://www.researchcatalogue.net/view/2532879/2532880

name	epc-live
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	video

name	epcvideob
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	image

name	StreamLines-Youtube
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	video

name	imgsl
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	image

name	Streamlines (2)-2
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	picture

name	streamlines
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	picture

name	combined_spectrograms
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	picture

name	Interstice (excerpt)
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	audio

name	sm-mix-full
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	audio

name	epc-turin-bw
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	picture

name	EPC-Operation2
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	picture

name	PARAMETRES
copyright	Bjarni Gunnarsson
license	All rights reserved
usages	video

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Recomposing Data: Machine Learning as Compositional Process (last edited: 2025)

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