[WORKSHOP] Gabriel Vigliensoni: Introduction to Machine Learning for Creative Practice

[WORKSHOP] Gabriel Vigliensoni: Introduction to machine learning for creative practice with sound and music
May 17th & 24th, 2022, 1:00 PM – 4:00 PM EST
Milieux Resource Room (EV 11/705)

To register, please email marc.beaulieu@concordia.ca with subject line ‘VIGLIENSONI WORKSHOP’

This two-day workshop aims at developing technical and personal skills
in users and potential users of machine learning in creative contexts
in general, and sound and music in particular. The sessions will
include an introduction to the machine learning (ML) paradigm and
human agency in creative AI; supervised, unsupervised, and generative
ML approaches; and music research-creation projects using machine
learning tools. Some of the tools that will be covered in the sessions
are: Wekinator, AudioStellar, R-VAE, and RAVE.

The workshop is designed to appeal to any artist, student, or creator
using music or sound as a plastic material for (part of) their work
and creative practice. This group includes sound and electronic music
artists, and also intermedia and mixed media artists.

vigliensoni, aka Gabriel Vigliensoni, is an electronic music artist,
performer, and researcher whose work interrogates the various stages
of contemporary music production’s workflow, always transforming the
process of making a record into a playing field for experimentation
and learning.   Having studied music technology in Santiago and
Montréal, and carried out research on machine learning for creative
practices in London, vigliensoni is equally grounded in the electronic
music subcultures surrounding house and techno as well as on
state-of-the-art and experimental techniques for music-making.