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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
    • Perception and Sound Design
    • Sound Analysis-Synthesis
    • Sound Music Movement Interaction
    • Musical Representations
    • Analysis of Musical Practices
    • Projects
    • Sound Workshop
    • The Musical Body
    • Creative Dynamics
    • Musique/Sciences Collection
  • 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
    • "I am in blood" for Sixteen Musicians and Live Electronics
    • Lucie Antunes in studio
    • Deena Abdelwahed in the studio
    • "Transfer" for 10 Musicians and Electronics
    • L'Annonce faite à Marie
    • In Ex Machina
    • Jazz Ex Machina
    • Improvise cum machina 1/2
    • Improvise cum machina 2/2
    • Like Sound, Like Flesh
    • Silent Talks
    • Music-Fictions
    • Artistic Research Residency
    • Artistic Residencies: The Blog
    • Rendez Vous 20.21
    • Season 2022.23
    • Seasons from 1996 to present
    • ManiFeste-2022 Website
    • ManiFeste festival from 2012 to 2022
    • L’Étincelle, IRCAM’s journal of creation
  • Transmission

    In parallel to its fundamental missions of research and creation, IRCAM is committed to sharing its knowledge and know-how, its technologies with the general public. Cutting-edge research and diffusion of innovations, an international reference for education and the democratization of artistic practices are the driving forces behind the institute’s educational activities.

    • 2022.23 Training Courses
    • Max, Max for Live
    • OpenMusic
    • Modalys
    • TS2 and Partiels
    • Sound spatialization
    • From PureData to audio plugins
    • Sensors, Interfaces, and Interactive Machine Learning
    • Other training programs
    • Practical Information
    • Advanced Programs
    • Cursus Program on Composition and Computer Music
    • Supersonic Chair
    • Master ATIAM
    • Sound Design Master's Program
    • Music Doctorate
    • AIMove Master
    • School Programs
    • Studios of Creation
    • Mixed-Music
    • Artistic and Cultural Education
    • Career Discovery Visit
    • Images of a Work Collection
    • ManiFeste-2022, the Academy
  • Innovations

    At the center of societal and economic concerns combining culture and information technologies, the current research at IRCAM is seen by the international research community as a reference for interdisciplinary projects on the sciences and technologies for sound and music, constantly exposed to society’s new needs and uses.

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  • Sensors, Interfaces, and Interactive Machine Learning for Music








May 9 through Fri 12 May 2023,
10 a.m.- 5:30 p.m.
Ircam
salle Nono
Language

French

Level

Beginner

Prices

1100 €

practical information

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Reserve

Transmission
Software Training






Sensors, Interfaces, and Interactive Machine Learning for Music

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Master Sensors to Program Interactive Sound and Music Systems
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Objectives

Upon completion of this training program, participants will have acquired the theoretical and practical notions for realization of interactive sound and music systems using R-IoT sesnsors (9-axis sensor with accelerometres, WIFI), as well as pattern-recognition systems. Programming interfaces such as the Arduino or R-IoT will also be addressed

Public

Composers, musicians, performers, teachers, designers

Prerequisites

Good understanding of programming in Max or have successfully completed the course Max Initiation.

Educational Resources and Techniques

Classroom equipped with computers with all the necessary software installed, headphones, and MIDI keyboards
Class Format: training alternates between presentations, explanations on theory, studying examples to analyze, and hands-on exercises
Didactic Materials: video-projected presentations and PDF documents
Participants will have kits available made up of a R-IoT card and two physiological sensors (respiration, heartbeat). The R-IoT module is included in the cost of the training (value: 99 euros).

Supervision and Assessment

Welcome the first day of training beginning at 9:45am

Attendance controlled: signature of an attendance sheet required every morning and afternoon
Assessment: hands-on exercises throughout the course  
A certificate at the end of the program is given to each participant with the results of the exam

Training Period and Organization

24 hours of training. Tuesday-Friday, May 9-12, 2023. 10am-1pm/2:30pm-5:30pm

10 students maximum

This training program will be held at IRCAM on-site in accordance with local sanitary guidelines and measures in place at the current time. These guidelines and measures may change. In the event that IRCAM cannot physically welcome students for a program that requires face-to-face instruction, the program will be cancelled.

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Program

Tuesday

MorningOverview of different types of sensors, interfaces, and suppliers. The particular case of wireless sensors
Hands-on exercises: use the programming environments Arduino and Energia
AfternoonHands-on exercises : master the basics of programming in Arduino and Energia, first simple examples of coding, uploading code towards the Arduino and R-IoT interfaces.

Wednesday

MorningRecuperation and processing of sensor data in Max (Arduino and R-Iots)
Filtering (average, median filter, low pass filter) and normalization
AfternoonImplementation of a mapping system
Direct use of sensor data with simple sound processes. Synthesis control, playback of sound files

Thursday

MorningHands-on exercises: create a sonification system: physiological capture (heart beats, breathing) via sensors connected to the R-IoT interface, recuperation of data and sonification in Max
AfternoonIntroduction to the MuBu library and Gesture follower.

Friday

MorningTheory: introduction to "machine learning" with the Mubu for Max library allowing advanced applications for gesture and motion recognition. Presentation of examples of use in sonic and artistic projects (performance art)
AfternoonHands-on exercises: produce a system with sensors connected to the R-IoT interface, learning, and recognition in Max with MuBu
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Monday through Friday 9:30am-7pm Closed Saturday and Sunday
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