Research Catalogue

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 experimental 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.

Anatomy of Loss: An exposition

Building-Sound Compositions in (half-)public places: Starting from Graz, six vacant buildings in different European cities were researched as aural architectures and understood and experienced as an integral part of building-sound compositions. Techniques and strategies ​​were developed how sound art can react systematically to site-specific architectual conditions or how these environmental acoustic characteristics can become part of a previously non-existent composition.

Intervju av Jo Gunnar Håkonsen og Tanja Marie Gjerde ansatt på Feiring Bruk AS.

Denne leira og beholderen representerer blåleire som en del av et elvelandskap med en teglindustrihistorie i prosjektet. Leirelandskapet på Bryn består av tre forskjellige leirelandskap.

Denne leira og beholderen representerer blåleire som en del av byggeplasser og byggenæringen i prosjektet. Denne lokasjonen er et interessant ikke-sted1 i et trafikknutepunkt på Økern, der det er overraskende å finne leire.