I am a CNRS Researcher in computer music, working at UMR 9189 – CRIStAL in the Algomus Team in Lille, France.
I am currently the PI of the ANR (National Research Agency) project MICCDroP: Mixed Initiative Co-Creative Design for Long-Term Human-AI Musical Partnerships (ANR-24-CE38-5860).
I was also involved in Bob L. T. Sturm’s ERC project MUSAiC and Louis Bigo’s ANR project TABASCO.
Before that, I did my PhD at Inria (Multispeech) and Ircam (Musical representation) in the scope of the ANR project DYCI2, and then worked as a postdoctoral researcher at Ircam, EPFL (DCML), and KTH (MUSAiC).
My main research topics are:
⭔ Computational Creativity for musical co-creativity, for which I develop new computer tools for musician-machine interactions and study the emergent dynamics of co-creativity.
⭔ AI Music studies, for which I analyse the impact of AI technology on the music ecosystem, in particular on how AI music is listened to, created/performed and criticised.
Keywords: computational creativity, machine learning, human-machine interaction, computational musicology, ethnography, theory of creativity, philosophy of technology.
⭔ News:
⭔ New Ph.D. student joins MICCDroP: Ziyun Liu.
Research topic: Curiosity driven and lifelong learning for mixed initiative musical co-creativity. Co-supervised with Florent Berthaut.
⭔ Invited seminar at Conservatoire National des Arts et Métiers:
Title: Musicking and Computational Creativity: From techniques to culture
⭔ New post-doc joins MICCDroP for 18 months: Claudio Panariello.
⭔ Paper accepted for the AI Music Creativity conference 2025:
O. Anoufa, A. D’Hooge, K. Déguernel (2025). Conditional Generation of Bass Guitar Tablature for Guitar Accompaniment in Western Popular Music. Artificial Intelligence and Musical Creativity
⭔ Paper published in TISMIR:
C. Ballester, B. Bacot, L. Bigo, V. Borsan, L. Couturier, K. Déguernel, Q. Dinel, L. Feisthauer, K. Frieler, M. Gotham, R. Groult, J. Hentschel, A. D’Hooge, D.V.T. Le, F. Levé, F. Maccarini, I. Maričić, G. Micchi, M. Müller, A. Stamatiadis, T. Taffin, P. Thibaud, C. Weiß, R. Yang, E. Leguy, M. Giraud (2025). Interacting with Annotated and Synchronized Music Corpora on the Dezrann Web Platform. TISMIR, 8:1.
⭔ Paper accepted for the NIME Conference 2025:
D. Dalmazzo, K. Déguernel, B. L. T. Sturm (2025). A Computer Application to Explore 53-Tone Equal Temperament Harmonies Through Modal Interchange. New Interface for Musical Expression
⭔ PI of the National Research Project MICCDroP (2025-2029):
Mixed Initiative Co-Creative Design for Long-Term Human-AI Musical Partnerships.
⭔ Presentation at the AI Music Studies Conference 2024:
K. Déguernel, P. Ericson, B. Bacot (2024). Music generative AI as a pharmakon. AI Music Studies Conference.
⭔ Work selected for the AI Music Studies concert at KMH Royal College of Music, Stockholm.
⭔ Abstract accepted for the Workshop on the Study of Commercial Creative AI 2024:
P. Ericson, K. Déguernel (2024). Creative agency and the “democratisation” of skill. Workshop on the Study of Commercial Creative AI.
⭔ Paper accepted for the AI Music Creativity conference 2024:
B. L. T. Sturm, K. Déguernel, R. S. Huang, A.-K. Kaila, P. Jääskeläinen, E. Kanhov, L. Cros Vila, D. Dalmazzo, L. Casini, O. R. Bown, N. Collins, E. Drott, J. Sterne, A. Holzapfel, O. Ben-Tal (2024). AI Music Studies: Preparing for the Coming Flood, AI Music Conference.
⭔ Paper accepted for Sound and Music Computing 2024:
A. D’Hooge, L. Bigo, K. Déguernel & N. Martin (2024). Guitar chord diagram suggestion for Western popular music. Sound and Music Computing.
⭔ Presentation for the Online Computational Creativity Reading Group:
Sturm et al. (2024): MusAIcology: AI Music and the need for a new kind of music studies
⭔ Abstract accepted for the AI Music Studies Conference 2024:
K. Déguernel, P. Ericson, B. Bacot (2024). Music generative AI as a pharmakon. AI Music Studies Conference.
⭔ Participation at the AI Music Generation Challenge 2023:
Creation of an artificial music tradition: Scrap Metal: The Lost Sound of the 90s
⭔ Special Issue of Computer Music Journal on Musical Interactivity in Human-AI and AI-AI Partnerships:
Guest editors:
– 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)
Computer Music Journal 46(4): Papers available online + Sound Anthology
⭔ Paper accepted for EvoMUSART 2024:
D. Dalmazzo, K. Déguernel, B. L. T. Sturm (2024). The Chordinator: Modeling Music Harmony By Implementing Transformer Networks and Token Strategies. EvoMUSART