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edgy synth melodies, interlocked rhythms, sonic experimentation

Photos: Myriam Ménard et Bruno Destombes



Vigliensoni, aka Gabriel Vigliensoni, is a Montréal-based musician and producer. His work is informed by formal musical training and extensive studies in sound recording, music production, new musical interfaces, and music information retrieval. In his work, Vigliensoni explores the different stages of current music production workflows, always transforming the process of making a record into a playing field for experimentation and learning.

Vigliensoni has been involved in a variety of projects all through his lengthy musical career, performing, producing, and composing. He was a founding member of the post-punk band Lucybell and the electro-acoustic band Mismos, among many other collaborations. In all these projects, Vigliensoni constantly embedded his trademark sound of edgy synth melodies, interlocked rhythms, and sonic experimentation.

In his latest album, Tempest, Vigliensoni uses a discrete number of analogue modular and MIDI-based digital synths, drum machines, and sequencers, to investigate alternative methods of composition and production. The tracks of this extended play release are improvisations composed with a limited sound palette, broadened in the editing and mixing stage. With an emphasis on the process, Vigliensoni is always looking for ways to transmit his discoveries and explorations, to share his experience as our own experience.



Cet ancien élève du conservatoire de Santiago a débuté en parallèle sa carrière solo avec Nata en 2004, un album sur lequel il expérimente avec la techno et le breakbeat. Il a également exploré des chansons à dominante vocale sur Le Règne Animal en 2014, et a amalgamé krautrock et musique électronique avec Jaguar l’année suivante. Détenant un doctorat en technologie musicale à l’université McGill, Vigliensoni a étudié la conception de nouvelles interfaces musicales et d’algorithmes de recommandation musicale.

Gabriel Vigliensoni is a Montréal-based musician and researcher. He combines formal musical training and extensive studies in sound
recording, music production, music information retrieval, and machine learning to design new approaches to music composition. Currently a
postdoctoral research fellow in the Department of Computing at Goldsmiths, University of London, Vigliensoni is doing practice-based
research on the creative capabilities and affordances of the deep learning paradigm for assisting musical composition. He holds a PhD in Music from McGill University.IDMIL