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⭔ Welcome

I am a CNRS Researcher 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 and with Louis Bigo in the scope of his ANR project TABASCO.

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.

⭔ Studied Topics (in the map of Computer Music):

⭔ News:

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)
Expected publication: Papers available online – Physical issue in March 2024.

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

Paper released on SocArXiv:
B. L. T. Sturm, K. Déguernel, R. S. Huang, A. Holzapfel, O. Bown, N. Collins, J. Sterne, L. Cros Vila, L. Casini, D. Dalmazzo, E. A. Drott, and O. Ben-Tal (2024). MusAIcology: AI Music and the Need for a New Kind of Music Studies, SocArXiv

Late Breaking Demo accepted for ISMIR 2023:
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 2023:
A. D’Hooge, L. Bigo, K. Déguernel (2023). Modeling Bends in Popular Music Guitar Tablatures. International Society for Music Information Retrieval Conference