Gabriel Vigliensoni
(Photo by Gab del Canto)
Dr Gabriel Vigliensoni
- Assistant Professor in Creative Artificial Intelligence, Design and Computation Arts
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Supervised programs: Design (MDes) | Individualized Program (MA, MSc) | Individualized Program (PhD)
Research areas: sound and music making, machine learning, human-computer interaction, artificial intelligence, embodied musical interaction, music information retrieval, new interfaces for musical expression, sound design, research-creation, performance, embodiment, interactivity, digital audio, music recommendation, creative machine learning, interactive machine learning
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Biography
Gabriel Vigliensoni is an electronic music artist, performer, and researcher whose work currently explores the creative affordances of the machine learning paradigm in the context of sound- and music-making. His practice merges formal musical training with extensive studies and experience in sound recording, music production, music information retrieval, human-computer interaction, and machine learning to explore and develop novel approaches to music composition and performance.
Vigliensoni views sound and music as shared experiences that are completed through audience interaction. Over his extensive career, he has experimented with techno and breakbeat, merged krautrock with electronica, explored vocal-driven songs outside traditional pop formats, and utilized procedural composition techniques to challenge the liveness and immediacy of digital music production.
Vigliensoni's creative work and research have been showcased internationally at venues and conferences such as CCA (QC), CMMAS (MX), IRCAM (FR), MUTEK (QC, CL), ICCC (CA, PO), IKLECTIK (UK), ISEA (CA), NMF (UK), NIME (US), ICMC (US), and ISMIR (US, FR, BR, CN, NL). He earned a PhD in Music Technology from McGill University and currently serves as an Assistant Professor in Creative Artificial Intelligence in the Department of Design and Computation Arts at Concordia University.
vigliensoni performing at MUTEK 2020
Myriam Menard
Teaching activities
Winter 2027
CART 398 - Special Topics in Computation Arts: Live Coding
Fall 2026
CART 346 - Digital Sound I: Theory and Practice of Real-Time Audio
CART 498 - Special Topics in Computation Arts: Generative AI
Winter 2026
Fall 2025
Winter 2025
Fall 2024
Winter 2024
Fall 2023
Publications
2026
2025
Vigliensoni, Gabriel, and Rebecca Fiebrink. 2025. “Data- and Interaction-Driven Approaches for Sustained Musical Practices with Machine Learning.” Journal of New Music Research 53 (1–2): 19–32. https://doi.org/10.1080/09298215.2024.2442361.
Nguyen, Vuong, and Gabriel Vigliensoni. 2025. “Embedding Visual Thinking into an AI-Driven Furniture Design Critiquing System.” In Proceedings of the 16th International Conference on Computational Creativity, edited by Hugo Gonçalo Oliveira, Brad Spendlove, Pablo Gervás, and Dan Ventura, 340–345. Campinas, Brazil: Association for Computational Creativity.
Bryan-Kinns, Nick, Shuoyang Zheng, Francisco Castro, Makayla Lewis, Jia-Rey Chang, Gabriel Vigliensoni, Terence Broad, Michael Clemens, and Elizabeth Wilson. 2025. “XAIxArts Manifesto: Explainable AI for the Arts.” In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25), Article 650. New York: Association for Computing Machinery. https://doi.org/10.1145/3706599.3716227.
Ford, Corey, Elizabeth Wilson, Shuoyang Zheng, Gabriel Vigliensoni, Jeba Rezwana, Lanxi Xiao, Michael Clemens, Makayla Lewis, Drew Hemment, Alan Chamberlain, Helen Kennedy, and Nick Bryan-Kinns. 2025. “Explainable AI for the Arts 3 (XAIxArts3).” In Proceedings of the 2025 Conference on Creativity and Cognition (C&C ’25), 13–19. New York: Association for Computing Machinery. https://doi.org/10.1145/3698061.3728392.
Nguyen, Vuong, and Gabriel Vigliensoni. 2025. “fCrit: A Visual Explanation System for Furniture Design Creative Support.” In Proceedings of Explainable AI for the Arts 3 (XAIxArts 2025). https://arxiv.org/abs/2508.12416.
Nickel, Vadim, and Gabriel Vigliensoni. 2025. “Sonic Lead: A Survey of Sound-First Games.” In Conference Proceedings of DiGRA 2025: Games at the Crossroads. Tampere: Digital Games Research Association. https://doi.org/10.26503/dl.v2025i2.2428.
Bryan-Kinns, Nick, Anna Wszeborowska, Olga Sutskova, Elizabeth Wilson, Phoenix Perry, Rebecca Fiebrink, Gabriel Vigliensoni, Rikard Lindell, Andrei Coronel, and Nuno N. Correia. 2025. “Leveraging Small Datasets for Ethical and Responsible AI Music Making.” In Proceedings of the 20th International Audio Mostly Conference (AM.ICAD ’25). New York: Association for Computing Machinery. https://doi.org/10.1145/3771594.3771601.
2024
Tecks, Austin, Thomas Peschlow, and Gabriel Vigliensoni. 2024. “Explainability Paths for Sustained Artistic Practice with AI.” In Proceedings of the Second International Workshop on eXplainable AI for the Arts at the ACM Creativity and Cognition Conference (XAIxArts 2024). https://doi.org/10.48550/arXiv.2407.15216.
Bryan-Kinns, Nick, Corey Ford, Shuoyang Zheng, Helen Kennedy, Alan Chamberlain, Makayla Lewis, Drew Hemment, Zijin Li, Qiong Wu, Lanxi Xiao, Gus Xia, Jeba Rezwana, Michael Clemens, and Gabriel Vigliensoni. 2024. “Explainable AI for the Arts 2 (XAIxArts2).” In Proceedings of the 16th Conference on Creativity & Cognition (C&C ’24), 86–92. New York: Association for Computing Machinery. https://doi.org/10.1145/3635636.3660763.
2023
Vigliensoni, Gabriel, and Rebecca Fiebrink. 2023. “Steering Latent Audio Models through Interactive Machine Learning.” In Proceedings of the 14th International Conference on Computational Creativity (ICCC ’23), 19–23. Waterloo, ON. https://doi.org/10.5281/zenodo.8087978.
Vigliensoni, Gabriel, and Rebecca Fiebrink. 2023. “Interacting with Neural Audio Synthesis Models through Interactive Machine Learning.” In Proceedings of the First International Workshop on eXplainable AI for the Arts (XAIxArts 2023), ACM Creativity and Cognition Conference.
Vigliensoni, Gabriel, and Rebecca Fiebrink. 2023. “Re•col•lec•tions: Sharing Sonic Memories through Interactive Machine Learning and Neural Audio Synthesis Models.” Creative AI Track, 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
Shimizu, Junichi, Ireti Olowe, Terence Broad, Gabriel Vigliensoni, Prashanth Thattai Ravikumar, and Rebecca Fiebrink. 2023. “Interactive Machine Learning for Generative Models.” In Proceedings of the Machine Learning for Creativity and Design Workshop, 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
Fujinaga, Ichiro, and Gabriel Vigliensoni. 2023. “Optical Music Recognition Workflow for Medieval Music Manuscripts.” In Proceedings of the 5th International Workshop on Reading Music Systems (WoRMS 2023), edited by Jorge Calvo-Zaragoza, Alexander Pacha, and Elona Shatri, 4–6. Milan, Italy.
2022
Vigliensoni, Gabriel, Phoenix Perry, and Rebecca Fiebrink. 2022. “A Small-Data Mindset for Generative AI Creative Work.” In Generative AI and HCI: CHI 2022 Workshop, 5 pages. New York: Association for Computing Machinery. https://doi.org/10.5281/zenodo.7086327.
Vigliensoni, Gabriel, Louis McCallum, Esteban Maestre, and Rebecca Fiebrink. 2022. “R-VAE: Live Latent Space Drum Rhythm Generation from Minimal-Size Datasets.” Journal of Creative Music Systems 1 (1). https://doi.org/10.5920/jcms.902.
2021
Vigliensoni, Gabriel, Elsa De Luca, and Ichiro Fujinaga. 2021. Chapter 6: Repertoire: Neume Notation. In Music Encoding Initiative Guidelines edited by Johannes Kepper et al. https://music-encoding.org/guidelines/.
2020
Vigliensoni, Gabriel, Louis McCallum, Esteban Maestre, and Rebecca Fiebrink. 2020. “Generation and Visualization of Rhythmic Latent Spaces.” In Proceedings of the 2020 Joint Conference on AI Music Creativity. https://doi.org/10.5281/zenodo.4285422.
Vigliensoni, Gabriel, Louis McCallum, and Rebecca Fiebrink. 2020. “Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data.” In Proceedings of the Eleventh International Conference on Computational Creativity (ICCC ’20), 259–262. Coimbra, Portugal. https://doi.org/10.5281/zenodo.7415792.
Vigliensoni, Gabriel, Esteban Maestre, and Rebecca Fiebrink. 2020. “Web-Based Dynamic Visualization of Rhythmic Latent Spaces.” In Proceedings of the Sound, Image and Interaction Design Symposium (SIIDS 2020). https://doi.org/10.5281/zenodo.7438305.
Regimbal, Juliette, Gabriel Vigliensoni, Caitlin Hutnyk, and Ichiro Fujinaga. 2020. “IIIF-Based Lyric and Neume Editor for Square-Notation Manuscripts.” In Music Encoding Conference Proceedings 2020, edited by Elsa De Luca and Julia Flanders, 15–18. Boston, MA: Humanities Commons. https://doi.org/10.17613/d41w-n008.
2019
Fujinaga, I., and G. Vigliensoni. 2019. The art of teaching computers: The SIMSSA optical music recognition workflow system. In Proceedings of the 27th European Signal Processing Conference.
2018
Vigliensoni, G., J. Calvo-Zaragoza, and I. Fujinaga. 2018. Developing an environment for teaching computers to read music. In Proceedings
2017
Vigliensoni, G. 2017. Evaluating the performance improvement of a music recommendation model by using user-centric features. PhD dissertation. McGill University.
Vigliensoni, G., D. Romblom, M. P. Verge, and C. Guastavino. 2017. Perceptual evaluation of a virtual acoustic room model. The Journal of the Acoustical Society of America 142(4).
Seventh International Conference on Image Processing Theory, Tools, and Applications.
2016
Vigliensoni, G. and I. Fujinaga. 2016. Automatic music recommendation systems: Do demographic, profiling, and contextual features improve their performance?. In Proceedings of the 17th International Society for Music Information Retrieval Conference. doi: https://doi.org/10.5281/zenodo.1417073.
2015
Fujinaga, I., G. Vigliensoni, and H. Knox. 2015. The making of a computerized harpsichord for analysis and training. International Symposium on Performance Science.
2014
Vigliensoni, G., and I. Fujinaga. 2014. Time-shift normalization and listener profiling in a large dataset of music listening histories. Fourth annual seminar on cognitively based music informatics research.
2013
Vigliensoni, G., J. A. Burgoyne, and I. Fujinaga. 2013. Musicbrainz for the world: the Chilean experience. In Proceedings of the International Society for Music Information Retrieval Conference.
2012
Vigliensoni, G., and M. Wanderley. 2012. A quantitative comparison of position trackers for the development of a touch-less musical interface. In Proceedings of the New Interfaces for Musical Expression Conference.
2011
2010
Vigliensoni, G., and M. Wanderley. 2010. Soundcatcher: Explorations in audio-looping and time-freezing using an open-air gestural controller. In Proceedings of the International Computer Music Conference.
Awards and Funding
2026–2027 PI, SSHRC SIG Explorations Grant
2023–2025. PI, Faculty Research Development Program. Concordia University
2022–2023. PI, Knowledge Mobilization Grant. Research Creation. Fonds de Recherche du Québec—Société et Culture (FRQSC)
2020–2022. PI, Postdoctoral Research Creation. Fonds de Recherche du Québec—Société et Culture (FRQSC)
Artistic performances
November, 2025. Guarnieri, B., and G. Vigliensoni. Orbits and bodies. Web Audio Conference. IRCAM. Paris, France.
October, 2025. Vigliensoni, G., and A. Hernández. Una frontera líquida. Sound diffusion at the 2nd SpaceOut Ambisonics Festival. University of Michigan. Ann Arbor, MI.
July, 2025. Vigliensoni. Armable #9. Le Système. Montréal, QC
March–April, 2025 Gabriel Vigliensoni Antonia Hernández. Agua seca. Sound diffusion at the Segundo Festival Espacios Resonantes. Centro Cultural Gabriel Mistral. Santiago, Chile.