Tech Project

MusicSpatial AudioMachine learningComputer-aided composition
Open Call
In Residency
Residency Outcome
Connection of computer-aided music composition software with DSP, spatial audio, machine learning frameworks
From Jan. 1, 2019 to Dec. 31, 2019
  • OM7
  • OM7

Description of the challenges faced by the Tech Project

This proposal is framed in the development of OM7, a new generation of computer-aided compositon environment, and satellite libraries linking it to state-of-the art music technology components for digital signal processing, spatial audio and machine learning. While computer-aided music composition software has been used in the past with digital signal processing tools, the challenges the team is seeking to address involve both fields and their interconnection within interactive frameworks, including the latest approaches for human-computer interaction, as well as technologies for machine learning. While the idea of using AI to produce music has been successfully explored, machine learning and artificial intelligence are seldom used by the composers as assistance to creative processes: they also hope to highlight relevant applications, using such techniques to control or generate parameters for sound spatialization and DSP in compositional contexts.

Brief description of technology

OpenMusic: a visual programming environment for computer-aided composition. The last version of the environment (om7-beta, currently under development), includes direct connections with the latests IRCAM technologies such as Spat 5, IAE (interactive audio engine), and XMM (a machine learning library for gesture following and recognition). Development repositories: • om7: • om-xmm: • om-spat: • Spat 5: • Runtime application (download):

What the project is looking to gain from the collaboration and what kind of artist would be suitable

We are looking for artists (music composers) interested in applying our technology in compositional projects in and bring new problematics and challenges to push forward the connections between computer-aided music composition tools and other technologies involved in the project.

Resources available to the artist

The artist-in-residence will cooperate directly with researchers and developers of the above-mentioned technologies at the STMS laboratory of IRCAM. He/she will have access to IRCAM's studios and logistics, including 3D spatial audio facilities.