Debris: Music with AI byproducts

Roberto Alonso Trillo* (Performer), Marek Poliks (Developer), Stylianos Dimou (Composer), Kyoka (Composer), David Nguyen (Composer), Mariam Gviniashvil (Composer), Bihe Wen (Composer), Ivan Ferrer (Composer), Dariush Derakhshani (Composer)

*Corresponding author for this work

Research output: Non-textual formDigital, visual or audio products


A set of electronic compositions based on materials generated by the Demiurge audio synthesis engine, a music machine-learning platform. Demiurge consists of a tripartite neural network architecture developed by Roberto Alonso, Marek Poliks, and a team of collaborators at the Hong Kong Baptist University. Debris indexes a subset of Demiurge’s massive output database as waste material ripe for creative reconsumption.

Working with Debris invokes an array of concepts that range from archaeomusicology to new materialism; Debris positions its human and nonhuman collaborators within a network, a Deleuzian assemblage, an Adornian constellation, a swarm intelligence, a xenobestial orgy, a platform.

These human-in-the-loop interactions were begotten by Mariam Gviniashvili / Kyoka / Dariush Derakhshani / David Q. Nguyen / Bihe Wen / Stylianos Dimou / Iván Ferrer-Orozco.
Original languageEnglish
Place of PublicationWorldwide
PublisherAmazon Music
Media of outputCD
Size60 minutes
Publication statusPublished - 22 Sept 2022

Scopus Subject Areas

  • Music


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