Debris: Machine Learning, Archive Archaeology, Digital Audio Waste

Roberto Alonso Trillo, Marek Poliks

Research output: Contribution to journalArticlepeer-review


This article fragments and processes Debris, a project developed to formalize the creative recycling of digital audio byproducts. Debris began as an open call for electronic compositions that take as their point of departure gigabytes of audio material generated through training and calibrating Demiurge, a burgeoning audio synthesis platform (see Alonso and Poliks 2022) driven by machine learning.
Original languageEnglish
JournalOrganised Sound
Publication statusAccepted/In press - 14 May 2023

Scopus Subject Areas

  • Music
  • Artificial Intelligence
  • Human-Computer Interaction


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