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.

This project identifies a shortcoming in the range and coherence of the language that musicians use, in particular the Norwegian instrumental traditional music (folk music), when they aim to communicate the craft elements of their practice. The Craftmanship project identifies craft as deep knowledge that is a result of skills based activities that again result in tacit knowledge. This knowledge has traditionally been communicated between practitioners or from master to apprentice through a series of subtle cues, ideas or metaphors, which resist language – it is learned through experience and a form attunement between the participants. The project therefore, proposes to develop a vocabulary, based on and drawn from a practitioner’s perspective, through the “languaging” of keywords, and a critique of scores in order to revitalise the transmission of this knowledge for a new generation of musicians. Furthermore, it proposes that when attunement happens, it facilitates profound moments in performances, where the musician and audience reach a tacit recognition. The project proposes that these moments, colloquially described as ‘Magic Moments’ are the aim of most musicians in performance situations. These moments are often dependent on social situations. The project aims to construct a framework for further investigation of the contexts within which these moments manifest themselves.

Blog presenting news and updates from the project 'Craftmanship', by Kjell Tore Innervik and Håkon Høgemo

Table of contents JSS issues