Debris: Music with AI byproducts

Roberto Alonso Trillo; Marek Poliks; Stylianos Dimou; null Kyoka; David Nguyen; Mariam Gviniashvil; Bihe Wen; Ivan  Ferrer; Dariush  Derakhshani

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

Academy of Music

Research output: Non-textual form › Digital, visual or audio products

Abstract

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 language	English
Place of Publication	Worldwide
Publisher	Amazon Music
Edition	CD
Media of output	CD
Size	60 minutes
Publication status	Published - 22 Sept 2022

Scopus Subject Areas

Music

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://open.spotify.com/album/2WuH1vwdlpeU3cOFCaVR48?si=WyJ1YQspRa6A9c8AuLibIwLicence: Unspecified

Cite this

Alonso Trillo, R. (Performer), Poliks, M. (Developer), Dimou, S. (Composer), Kyoka (Composer), Nguyen, D. (Composer), Gviniashvil, M. (Composer), Wen, B. (Composer), Ferrer, I. (Composer), & Derakhshani , D. (Composer). (2022). Debris: Music with AI byproducts. Digital, visual or audio products, Amazon Music. https://open.spotify.com/album/2WuH1vwdlpeU3cOFCaVR48?si=WyJ1YQspRa6A9c8AuLibIw

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AB - 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.

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Debris: Music with AI byproducts

Abstract

Scopus Subject Areas

UN SDGs

Access to Document

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