⭔ Publications ⭔

⭔ In Preparation / Submitted

K. Déguernel, M. Neuwirth, M. Rohrmeier. Voice-leading schemata in jazz and pop-rock music. (Journal article)

K. Déguernel, A. Parmentier, C. Frei. A modular tool for automatic Soundpainting query recognition and music generation in Max/MSP (Conference article)

⭔ International peer-reviewed journal articles

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

K. Déguernel, E. Vincent, G. Assayag. Probabilistic factor oracles for multidimensional machine improvisation. Computer Music Journal, 42:2, 2018.

⭔ In proceedings of international peer-reviewed conferences

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

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

J. Nika, K. Déguernel, A. Chemla-Romeu-Santos, E. Vincent, G. Assayag. DYCI2 agents: merging the “free”, “reactive” and “scenario-based” music generation paradigms. Proceedings of the 43rd Intenational Computer Music Conference, 2017.
K. Déguernel, J. Nika, E. Vincent, G. Assayag. Generating equivalent chord progressions to enrich guided improvisation: application to Rhythm Changes. Proceedings of the 14th Sound and Music Computing Conference, 2017.
D. Di Carlo, K. Déguernel, A. Liutkus. Gaussian framework for interference reduction in live recordings. Proceedings of the Audio Engineering Society Conference on Semantic Audio, 2017.

K. Déguernel, E. Vincent, G. Assayag. Using multidimensional sequences for improvisation in the OMax paradigm. Proceedings of the 13th Sound and music Computing Conference, 2016.

M. Giraud, K. Déguernel, E. Cambouropoulos. Fragmentations with pitch, rhythm and parallelism constraints for variation matching. Proceedings of the 10th International Symposium of Computer Music Multidisciplinary Research, 2014.

⭔ Other publications

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

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

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

⭔ Softwares

DYCI2lib, FLOSS library for human-machine co-improvisation. Python, Max/MSP. 2018-2019. GNU/GPLv3. Source code.
Developed mainly by J. Nika. I contributed to the design of the software architecture, to the implementation of base modules, to the implementation of the different improvisation methods resulting from my thesis work, and to the creation of tutorials.

Mirapie, Interference reduction software for full-length live recordings. Python3. 2017. GNU/GPLv3. Source code.
Fully implemented by D. Di Carlo during his internship. I contributed to the creation of the algorithms with D. Di Carlo and A. Liutkus. This software was notably used by the MetaMedia Center of EPFL to process parts of the archives of the Montreux Jazz Festival.

Sawa, web-application for schemata annotations. JavaScript. 2019-2020. GNU/GPLv3. Prototype.
Ongoing development by C. Finkensiep and myself. This application is used by the Digital and Cognitive Musicology Lab of EPFL and by the conservatories of Fribourg and Basel for indexing schemata.

SPQR, SoundPainting Query Recognition. Max/MSP. 2020. GNU/GPLv3. Source code.
Developed by A. Parmentier during his internship. I contributed to the development as I was the only one in the project with previous expertise of Max/MSP.