Of altered instrumental relations: a practice-led inquiry into agency through musical performance with neural audio synthesis and violin

Recent developments in artificial intelligence (AI) are rapidly generating new musical practices. While the use of generative AI in producing music is increasingly well known, intelligent algorithms are also being incorporated directly into musical instruments. Often based on small, personal artistic datasets, these systems augment computational agency in ways that alter the perception of the human performer and transform the performer–instrument relationship. Such developments raise questions about co-creativity, instrumental materiality, augmentation through code, and how musical expressivity and communication materialise in performance with AI. This article reports on research conducted through artistic experimentation and live performance. The project involved the design of an “intelligent violin” and proceeded in four phases: (1) curating datasets, (2) training a neural audio synthesis model, (3) working with the model in practice and live performance, and (4) analysing the artistic outcomes. Documentation and analysis of the artistic process provided the basis for identifying emergent creative and phenomenological relationships between performer and instrument. The findings reveal how algorithmic augmentation reshapes the agencies at play in performance and transforms both the affordances and the sociality of the creative encounter. The intelligent violin altered performer perception, shifting the dynamics of control, responsibility, and co-creativity. The research further documents how these processes affected musical expressivity and performer–instrument communication.

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Publication Details

Journal
Frontiers in Computer Science
Published
2025-10-21
DOI
https://doi.org/10.3389/fcomp.2025.1578595
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
0.00

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article

Of altered instrumental relations: a practice-led inquiry into agency through musical performance with neural audio synthesis and violin

Halla Steinunn Stefánsdóttir, Thor Magnusson
Frontiers in Computer Science
Embodied and Extended Cognition
article

Of altered instrumental relations: a practice-led inquiry into agency through musical performance with neural audio synthesis and violin

Halla Steinunn Stefánsdóttir, Thor Magnusson
article en

Abstract

Recent developments in artificial intelligence (AI) are rapidly generating new musical practices. While the use of generative AI in producing music is increasingly well known, intelligent algorithms are also being incorporated directly into musical instruments. Often based on small, personal artistic datasets, these systems augment computational agency in ways that alter the perception of the human performer and transform the performer–instrument relationship. Such developments raise questions about co-creativity, instrumental materiality, augmentation through code, and how musical expressivity and communication materialise in performance with AI. This article reports on research conducted through artistic experimentation and live performance. The project involved the design of an “intelligent violin” and proceeded in four phases: (1) curating datasets, (2) training a neural audio synthesis model, (3) working with the model in practice and live performance, and (4) analysing the artistic outcomes. Documentation and analysis of the artistic process provided the basis for identifying emergent creative and phenomenological relationships between performer and instrument. The findings reveal how algorithmic augmentation reshapes the agencies at play in performance and transforms both the affordances and the sociality of the creative encounter. The intelligent violin altered performer perception, shifting the dynamics of control, responsibility, and co-creativity. The research further documents how these processes affected musical expressivity and performer–instrument communication.

Frontiers in Computer ScienceVol. 7
University of Iceland (IS)
European Commission
Openalex Percentile: Top 70%
Embodied and Extended Cognition
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