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  • Research

    The fundamental principle of IRCAM is to encourage productive interaction among scientific research, technological developments, and contemporary music production. Since its establishment in 1977, this initiative has provided the foundation for the institute’s activities. One of the major issues is the importance of contributing to the renewal of musical expression through science and technology. Conversely, sp…

    • Research Topics
    • The STMS Lab
    • Research Teams
    • Sound Systems and Signals: Audio/Acoustics, InstruMents
    • Acoustic and Cognitive Spaces
    • Sound Perception and Design
    • Sound Analysis-Synthesis
    • Sound Music Movement Interaction
    • Musical Representations
    • Analysis of Musical Practices
    • Projects
    • Sound Workshop
    • The Musical Body
    • Creative Dynamics
    • Finished Projects
  • Creation

    IRCAM is an internationally recognized research center dedicated to creating new technologies for music. The institute offers a unique experimental environment where composers strive to enlarge their musical experience through the concepts expressed in new technologies.

    • Composers & Artists in Studio
    • Chloé Thévenin in studio
    • Oren Boneh in studio
    • Tristan Murail in studio
    • Martin Matalon in studio
    • Sébastien Gaxie in studio
    • Murcof in the studio
    • Vimala Pons in studio
    • Lucie Antunes in studio
    • Deena Abdelwahed in the studio
    • Music-Fictions
    • Artistic Research Residency
    • Artistic Residencies: The Blog
    • Rendez Vous 24.25
    • 2024-2025
    • Replay Concerts
    • Seasons from 1996 to present
    • ManiFeste-2024 Website
    • ManiFeste festival from 2012 to 2024
    • L’Étincelle, IRCAM’s journal of creation
  • Transmission

    In support of IRCAM's research and creation missions, the educational program seeks to shed light on the current and future meaning of the interactions among the arts, sciences, and technology as well as sharing its models of knowledge, know-how, and innovations with the widest possible audience.

    • Training Courses
    • Training Courses 2025.26
    • Max, Max for Live
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    • ASAP & Partiels
    • Sound spatialization
    • Generative AI
    • Practical Information
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    • Cursus Program on Composition and Computer Music
    • Master ATIAM
    • Sound Design Master's Program
    • Mixed-Music
    • AIMove Master
    • Discover Research at IRCAM
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    • Cultural Mediation at Middle School Students
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    • Digital Workshops
    • TACT
    • Images of a Work Collection
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    • Spatial Composition Workshop
    • In Situ Polytopes
    • ULYSSES Ensemble
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  • Creative machine learning in MaxMSP: Concepts, tools and applications








Tue 3 March 2026,
Tue 10 March 2026,
Tue 17 March 2026,
Tue 24 March 2026,
2 p.m.- 4 p.m.
En ligne
Language

English

Level

Beginner

Prices

Full : 365 €
Mbre Forum Premium : 255 €
Student : 180 €

Practical Information

Edit

Reserve

Transmission
Software Training






Creative machine learning in MaxMSP: Concepts, tools and applications

Edit






Discover and master generative AI tools for music (RAVE, Diffusion)
Edit






Objectives

À l'issue de ce cours, les stagiaires seront capables de comprendre les bases du fonctionnement des IA génératives, d'utiliser différents modèles audios existants, et de personnaliser par la suite les modèles à leur applications créatives. La formation se termine par un travail personnel et une restitution permettant aux participants de développer l’usage de ses outils dans leur projet créatif.

Public

Composers, musicians, teachers, performers, researchers.

Prerequisites

  •   Fluent in spoken and written English.
  • Les participantes et participants doivent être à l'aise avec les environnements de MAO (MaxMSP, Ableton Live) et avoir une expérience dans la composition avec ces outils.
  • Basic knowledge of Max and its environment: hands-on familiarity and understanding of Max’s basic tutorials (Max Basics tutorials 1–11, 14–22; Max Data tutorials 1 and 2; MSP tutorials; MSP Basics tutorials 1–5; MSP Panning tutorials 1–3; MSP Analysis tutorials 1 and 2; MSP Delay tutorials 1–3 and 6), or completion of the Max Beginner course
  • A beginner’s level knowledge of Python is strongly recommended.
  • Knowledge of signal processing basics is a plus.
  • Experience in mathematics and computer programming is a plus.
  • Basic concepts of using the Zoom application.

Training Period and Organization

8 hours of training. Every Tuesday from March 3 to March 24, 2026 , from 2 pm to 4 pm.
In English, Online Class
8 students maximum

Edit

Program

Some details of the training program are subject to change depending on developments in the software on which they are based.

After a brief introduction to the concepts of artificial intelligence and machine learning, participants will delve into the mechanisms and practical use of nn~ and RAVE, then learn how to customize them for their artistic projects.

Tuesday, March 3

Core curriculum Part 1:

  • Fundamentals of machine learning and generative AI for music.
  • Introduction to RAVE VST and nn~ in MaxMSP and Ableton.

Tuesday, March 10

Core curriculum Part 2:

  • Theoretical deep dive: latent space and transformations.
  • Creation of control patches for different models in MaxMSP.

Tuesday, March 17

This session will be divided into two groups to allow for more personalized learning:

Group 1: Training your own generative models

  • Getting started with Pytorch and RAVE training code in Python.
  • Scripting pre-existing models for integration into nn~.

Group 2: Advanced control and bending

  • Creating complex patches for latent manipulation.
  • Motion control.
  • Network bending.

At the end of the session, time will be set aside for trainees to begin work on a personal application, in order to put the concepts studied into practice, with a view to presenting their work the following week.

Tuesday, March 24

Presentation of personal work, discussion, and ideas for further exploration.


Educational Resources and Techniques

  • This professional training course will be held online and taught in English.
  • Technical requirements: Please download the following software prior to the training course:
    • MaxMSP (minimum version 8.6)
    • NN~
    • Ableton Live (optional)
    • Python 3.12 with an Anaconda environment (optional)
  • To get the most out of the training, you will need two screens and a good internet connection.
  • Links to access the platform and instructions for taking the course remotely will be provided to each participant.
  • The software is not included in the training fee and will not be provided at the end of the training.

Supervision

  • Attendance controlled : signature of an attendance sheet required every morning and afternoon.
  • A certificate at the end of the program is given to each participant with the results of the exam.

.Assessment

  • Assessment of knowledge and skills in the form of an open creative project.
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