⭔ Publications ⭔

⭔ International peer-reviewed journal articles

⭔ S. A. Herff, L. Taruffi, G. Cecchetti, K. Déguernel (2021). Music influences vividness and content of imagined journeys in a directed visual imagery task. Scientific Reports, 11:15990

K. Déguernel, E. Vincent, J. Nika, G. Assayag, K. Smaïli (2019). Learning of hierarchical temporal structures for guided improvisation. Computer Music Journal, 43:2
[Supplementary material]

K. Déguernel, E. Vincent, G. Assayag (2018). Probabilistic factor oracles for multidimensional machine improvisation. Computer Music Journal, 42:2
[Supplementary material]

⭔ In Proceedings of international peer-reviewed conferences

K. Déguernel, B. L. T. Sturm, H. Maruri-Aguilar (2022). Investigating the relationship between liking and belief in AI authorship in the context of Irish traditional music. CREAI – Workshop on Artificial Intelligence and Creativity

K. Déguernel, M. Giraud, R. Groult, S. Gulluni (2022). Personalizing AI for co-creative music composition from melody to structure. Sound and Music Computing Conference.
[Supplementary material]

K. Déguernel, A. Parmentier, C. Frei (2021). A modular tool for automatic Soundpainting Query Recognition and music generation in Max/MSP. Sound and Music Computing Conference.
[Supplementary material]

⭔ C. Finkensiep, K. Déguernel, M. Neuwirth, M. Rohrmeier (2020). Voice-leading schema recognition using rhythm and pitch features. International Society for Music Information Retrieval Conference.

⭔ D. Di Carlo, A. Liutkus, K. Déguernel (2018). Interference reduction on full-length live recordings. IEEE International Conference on Acoustics, Speech and Signal Processing.

⭔ J. Nika, K. Déguernel, A. Chemla-Romeu-Santos, E. Vincent, G. Assayag (2017). DYCI2 agents: merging the “free”, “reactive” and “scenario-based” music generation paradigms. International Computer Music Conference.

K. Déguernel, J. Nika, E. Vincent, G. Assayag (2017). Generating equivalent chord progressions to enrich guided improvisation: application to Rhythm Changes. Sound and Music Computing Conference.

⭔ D. Di Carlo, K. Déguernel, A. Liutkus (2017). Gaussian framework for interference reduction in live recordings. Audio Engineering Society Conference on Semantic Audio.

K. Déguernel, E. Vincent, G. Assayag (2016). Using multidimensional sequences for improvisation in the OMax paradigm. Sound and Music Computing Conference.

⭔ M. Giraud, K. Déguernel, E. Cambouropoulos (2014). Fragmentations with pitch, rhythm and parallelism constraints for variation matching. International Symposium of Computer Music Multidisciplinary Research.

⭔ Other publications

Abstract: S. A. Herff, L. Taruffi, G. Cecchetti, K. Déguernel (2021). Empirical characterisation of the effect of music on imagination. Proceedings of the International Conference on Music Perception and Cognition.

Ph.D. Thesis: K. Déguernel (2018). Apprentissage de structures musicales en contexte d’improvisation. Université de Lorraine.

Popular science article: K. Déguernel, N. Libermann, E. Vincent (2017). La musique comme une langue. In M. Artigue, J. Germoni, E. Ghys, E. Godlewski (Eds.), Mathématiques et langages. Commission française pour l’enseignement des mathématiques.

Poster: K. Déguernel, E. Vincent, G. Assayag (2016). Improvisation musicale multidimensionnelle dans le paradigme OMax. Journées des Jeunes Chercheurs en Acoustique, Audition et Signal. Best poster award.

⭔ Softwares

DYCI2lib, FLOSS library for human-machine co-improvisation. Python, Max/MSP. 2018-2019. GNU/GPLv3. Source code.

SPQR, SoundPainting Query Recognition. Max/MSP. 2020. GNU/GPLv3. Source code.

Mirapie, Interference reduction software for full-length live recordings. Python3. 2017. GNU/GPLv3. Source code.