Kelsey Cotton

Doctoral Student at Data Science and AI

Kelsey Cotton is a vocalist/artist/mover working with experimental music, Musical Artificial Intelligence, electronic textile, soft-robotics, and Human-Computer Interaction. As a researcher, Kelsey is fascinated with pushing the limits of musical bodies, which has seen her recent work delve deeper into designing artefacts which harness, augment and fuse different physiologies (both physical and digital). Her current work is probing first-person feminist perspectives of musical AI, focusing on voice and speech. Kelsey is passionate about somatic interaction, and the potential for intersomatic experiences between fleshy and synthetic bodies.

She is currently undertaking PhD studies in Interactive Music and AI at Chalmers University of Technology in Gothenburg, Sweden.

Source: chalmers.se
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Showing 3 publications

2023

Sound Design Strategies for Latent Audio Space Explorations using Deep Learning Architectures

Kivanc Tatar, Kelsey Cotton, Daniel Bisig
Proceedings of the Sound and Music Computing Conferences. Vol. 2023-June, p. 239-246
Paper in proceeding
2023

Corseto: A Kinesthetic Garment for Designing, Composing for, and Experiencing an Intersubjective Haptic Voice

Ozgun Kilic Afsar, Yoav Luft, Kelsey Cotton et al
Conference on Human Factors in Computing Systems - Proceedings
Paper in proceeding
2023

Caring Trouble and Musical AI: Considerations towards a Feminist Musical AI

Kelsey Cotton, Kivanc Tatar
AI Music Creativity Proceedings 2023
Paper in proceeding

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