I am a CNRS Researcher fellow in computer music interested in understanding, analyzing and modelling the creative processes used by musicians in their compositions, improvisations and stage performances, as well as creating new computer tools for musician-machine interactions, using AI, machine learning and ethnography.
I work at UMR 9189 – CRIStAL in the Algomus Team in Lille, France.
I also work with Bob Sturm in the scope of his ERC project MUSAIC.
Before that, I did my PhD at Inria (Multispeech) and Ircam (Musical representation) and then worked as a postdoctoral researcher at Ircam, EPFL (DCML), University of Lille (Algomus), and KTH (MUSAiC).
⭔ Research interests include (but are not limited to):
Music generation, Human-machine interaction, Co-creativity, Computational Creativity, Empirical musicology, Machine learning, AI ethics, Signal processing, Music theory, Improvisation, Text algorithmic, Probabilistic graphical models, Automata theory, Semigroup theory.
⭔ Late Breaking Demo accepted for ISMIR:
D. Dalmazzo, K. Déguernel, B. L. T. Sturm (2023). The Chordinator: Chord progression modeling and generation using transformers. International Society for Music Information Retrieval Conference
⭔ Paper accepted for ISMIR:
A. D’Hooge, L. Bigo, K. Déguernel (2023). Modeling Bends in Popular Music Guitar Tablatures. International Society for Music Information Retrieval Conference
⭔ Invited talk at the GDR CNRS symposium MaDICS (Big Data – Data Science):
Modelling musical structure as a compositional process.
⭔ Paper accepted for the International Conference on Computational Creativity:
K. Déguernel, B. L. T. Sturm (2023). Bias in Favour or Against Computational Creativity: A Survey and Reflection on the Importance of Socio-cultural Context in its Evaluation. International Conference on Computational Creativity
⭔ Abstract accepted for the International Conference on Music Perception and Cognition:
K. Déguernel, G. Cecchetti, S. A. Herff (2023). Emotion, Motion, and Abstract Notions: Insights in the role of imagination in professional musicians practices from semi-guided interviews. International Conference on Music Perception and Cognition
⭔ Special Issue of Computer Music Journal on Musical Interactivity in Human-AI and AI-AI Partnerships:
– Ken Déguernel (lead), Research fellow in Computer Science at CNRS (France)
– Bob. L. T. Sturm, Associate Professor of Computer Science, KTH (Sweden)
– Artemi-Maria Gioti, Research Fellow in Music and AI, UCL (UK) & Lecturer in New Media and Digital Technologies for Music, University of Music Dresden (Germany)
– Georgina Born, Professor of Anthropology and Music, Department of Anthropology & Institute of Advanced Studies, University College, London (UK)
Expected publication: Dec. 2023