phd thesis
Scurto, H., Designing With Machine Learning for Interactive Music Dispositifs. Sorbonne Université, 2020. Defended on December 2nd 2019 at IRCAM. Jury: Frédéric Bevilacqua (IRCAM), Samuel Bianchini (EnsAD), Sergi Jordà (UPF), Wendy Mackay (INRIA), Catherine Pélachaud (CNRS), Anne Sédès (Paris 8). pdf
journal articles / book chapters
Scurto, H., Van Kerrebroeck, B., Caramiaux, B., Bevilacqua, F. (2021). Designing Deep Reinforcement Learning for Human Parameter Exploration. ACM Transactions on Computer-Human Interaction (TOCHI), 28(1). 1-35. doi | pdf
Scurto, H., & Chemla—Romeu-Santos, A. (2021). Machine Learning for Computer Music Multidisciplinary Research: A Practical Case Study. In: Kronland-Martinet R., Ystad S., Aramaki M. (eds) Perception, Representations, Image, Sound, Music. CMMR 2019. Lecture Notes in Computer Science, vol 12631. Springer, Cham. doi | pdf
Lemaitre, G., Scurto, H., Françoise, J., Bevilacqua, F., Houix, O., & Susini, P. (2017). Rising Tones and Rustling Noises: Metaphors in Gestural Depictions of Sounds. PloS one, 12(7), e0181786. doi | pdf
conference proceedings
2023
Scurto, H., Chemla—Romeu-Santos, A. (2023). Deeply Listening Through/Out the Deepscape. To appear in Proceedings of the 28th International Symposium on Electronic Art (ISEA 2023).
2022
Scurto, H. (2022). Musicking Deep Reinforcement Learning. In Proceedings of the 7th International Conference on Technologies for Music Notation and Representation (TENOR 2022). pdf
2021
Scurto, H., Caramiaux, B., Bevilacqua, F. (2021). Prototyping Machine Learning Through Diffractive Art Practice. In Proceedings of the 2021 ACM Designing Interactive Systems Conference (DIS’21). doi | pdf
Scurto, H., Caramiaux, B., Similowski, T., Bianchini, S. (2021). GANspire: Generating Breathing Waveforms for Art-Health Applications. In 5th NeurIPS Workshop on Machine Learning for Creativity and Design. pdf
Becker, J., Bianchini, S., Scurto, H., Tosi Brandi, E. (2021). Picking Up Good Vibrations. In IEEE International Conference on Robotics and Automation Workshop on Sentimental Machines (ICRA-X 2021). pdf
2020
Audry, S., Dumont-Gagné, R., Scurto, H. (2020). Behaviour Aesthetics of Reinforcement Learning in a Robotic Art Installation. In NeurIPS Workshop on Machine Learning for Creativity and Design 4.0. pdf
Scurto, H. (2020). ciel. In Proceedings of the 20th International Conference on New Interfaces for Musical Expression (NIME’20). pdf
Scurto, H. (2020). terre. In Proceedings of the 2nd International Symposium on Sound, Image and Interaction Design (SIIDS’20). pdf
2019
Scurto, H., Liu, W., Matuszewski, B., Bevilacqua, F., Fréchin, J.-L., Petrevski, U., & Schnell, N. (2019). Entrain: Encouraging Social Interaction in Collective Music Making. In ACM SIGGRAPH Studio 2019 (SIGGRAPH’19) (p. 5). ACM. doi | pdf
Parke-Wolfe, S., Scurto, H., & Fiebrink, R. (2019). Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities. In Proceedings of the 19th International Conference on New Interfaces for Musical Expression (NIME’19). pdf
2018
Scurto, H., Van Kerrebroeck, B., & Bevilacqua, F. (2018). Riding the Co-Explorers. In Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018). pdf
Scurto, H., Bevilacqua, F., & Caramiaux, B. (2018). Perceiving Agent Collaborative Sonic Exploration In Interactive Reinforcement Learning. In Proceedings of the 15th Sound and Music Computing Conference (SMC 2018). pdf
Scurto, H., & Bevilacqua, F. (2018). Appropriating Music Computing Practices Through Human-AI Collaboration. In Journées d’Informatique Musicale (JIM 2018). pdf
2017
Scurto, H., Bevilacqua, F., & Françoise, J. (2017). Shaping and Exploring Interactive Motion-Sound Mappings Using Online Clustering Techniques. In Proceedings of the 17th International Conference on New Interfaces for Musical Expression (NIME’17). pdf
Scurto, H., & Bevilacqua, F. (2017). VIMOs: Enabling Expressive Mediation and Generation of Embodied Musical Interactions. In Proceedings of the 4th International Conference on Movement Computing (MOCO 2017). pdf
2016
Scurto, H., & Fiebrink, R. (2016). Grab-and-Play Mapping: Creative Machine Learning Approaches for Musical Inclusion and Exploration. In Proceedings of the 42nd International Computer Music Conference (ICMC 2016). pdf
Scurto, H., Lemaitre, G., Françoise, J., Voisin, F., Bevilacqua, F., & Susini, P. (2016). Embodying sounds: Building and analysis of a database of gestural and vocal imitations. In 7th Conference of the International Society for Gesture Studies (ISGS 2016).
2015
Scurto, H., Lemaitre, G., Françoise, J., Voisin, F., Bevilacqua, F., & Susini, P. (2015). Combining gestures and vocalizations to imitate sounds. In 170th Meeting of the Acoustical Society of America (ASA 2015).
art publishings
Da Mosto, J., Kuitenbrouwer, K., Ribault, P., Bianchini, S., Krier, S., Grebenstein, P., Hoske, R., Ammar-Khodja, B., Cozzolino, F., Scurto, H., Sebregondi, F. (2020). Zoöp. In Values for Survival, Cahier 2: the Venice Exploratorium. Het Nieuwe Instituut, Rotterdam. pp. 180-193. url
popular science
Scurto, H., Lemaitre, G., Françoise, J., Voisin, F., Bevilacqua, F., & Susini, P. (2015). How would you sketch a sound with your hands? in ASA Press Room, 2015. url
academic reports
Scurto, H., Creative Interaction Paradigms for Machine Learning-Based Design of Gestural Musical Interfaces. Pre-doctoral report, ENS Paris-Saclay, Goldsmiths University of London, 2016. pdf
Scurto, H., Combination of Gesture and Vocalization in Sound Imitation. Master’s thesis, UPMC, IRCAM, 2015. pdf
Scurto, H., Design and Prototyping of a Transverse Saxophone. Bachelor’s report, ENS Paris-Saclay, LMA-CNRS, 2013. pdf
Scurto, H., Voicing and String Plucking in the Harpsichord. Bachelor’s report, ENS Paris-Saclay, ∂’Alembert, Philharmonie de Paris, 2012. pdf
