Introduction

I am a PhD student, currently exploring the realm of deep learning applied to music at IRCAM. My work centers around the intersections of technology and music within the ACIDS research group of the Analysis Synthesis Team.

In addition to my research, I contribute to education by teaching Ableton and Pure Data for the ATIAM Master. You can listen to the results of their final projects here !

Research Focus

My research revolves around the following key areas:

Real-time Neural Audio Synthesis: Exploring the potentials of deep generative models for real-time audio synthesis, my aim is to create innovative and expressive methods that harmoniously blend human creativity with deep generation.
Interactive Musical Instruments with Model Controls: I am committed to developing interactive musical instruments that incorporate model controls powered by artificial intelligence. This approach empowers musicians to explore novel sonic landscapes, expanding the horizons of musical creativity.
Interface Design & Embedding into Hardware Synthesizers: My focus lies in user-friendly interface design and seamless integration of technology into hardware synthesizers. This enhances the musician’s experience and strengthens the musical process.
Reflective Study on AI’s Artistic Applications and Interviews with Artists: Through reflective exploration, I investigate the artistic applications of artificial intelligence in music. Engaging in insightful interviews with talented artists, I seek to understand the impact of technology on artistic expression.

Website Sections

On this website, you will find the following sections:

Introduction to My Researches: An overview of my research projects and interests.
Publications, Conferences, and Seminars: Details about my academic contributions and presentations.
Main Projects: Information about the key projects I have been involved in.
Pedagogical Material: Access to course materials for the courses I teach.

Electronic Music

Beyond my academic pursuits, I find my inspiration in the realm of electronic music, constantly exploring new horizons of sound and melody. I believe that creativity flourishes when shared, and I would be delighted to engage in any collaborative endeavors in my field.

Contact information

Ninon Devis c/o IRCAM
1, Place Igor Stravinsky
F-75004 Paris, France

ninon.devis@ircam.fr

Teacher - University Paris 6 - UPMC
PhD - AI applied to music

Master - Acoustics, Signal Processing and Informatics
IRCAM - CNRS UMR 9912
Analysis Synthesis team