Special track on AI and Orchestration
Further informations for candidate artists
In recent years, a research synergy has emerged around the question of theorizing and using musical orchestration. Musical orchestration is understood here in its broad sense of the ability to combine the specificities of several musical sources to achieve a particular auditory objective. This complex skill has a huge impact on classical and popular music, film and television, and video game development. In this context, two recently funded projects (ANR-NSERC MAKIMOno and SSHRC ACTOR) aim to create a true scientific theory of orchestration, by incorporating expertise in the fields of computer science, artificial intelligence, experimental psychology, signal processing and theoretical musical analysis. These different projects lead to the development of models of deep learning and knowledge extraction able to link musical signals, symbolic scores, and perceptual analyses. Thus, several new generative systems aimed at enhancing musical creativity through artificial intelligence are currently emerging.
The aim of this call for residencies is to develop the use of these new technologies with the goal of creating innovative musical pieces. Thus, the residency would both improve the use and quality of these technologies, but also explore their creative potential, and allow their presentation to the general public through concerts and potentially interactive musical works and demonstrations. At the end of the residency, a musical piece is expected to be produced and existing collaborations with several orchestras might lead to its premiere in a leading international music venue.
The deadline for application is November 21th 2018 (midnight Paris time).
Useful linksMain call page
Full orchestration research network:
Funded research projects