Designing Sound Collaboratively - Perceptually Motivated Audio Synthesis
This work addresses the challenge of collaborative audio synthesis for sound designers and artists, though it appears incremental as it builds on existing machine learning and interaction methods.
The paper tackled the problem of collaborative sound design by developing a prototype that enables multiple users to create sound together in real-time using a multi-touch tabletop, with results from a comparative evaluation study indicating improved user interaction and design efficiency.
In this contribution, we will discuss a prototype that allows a group of users to design sound collaboratively in real time using a multi-touch tabletop. We make use of a machine learning method to generate a mapping from perceptual audio features to synthesis parameters. This mapping is then used for visualization and interaction. Finally, we discuss the results of a comparative evaluation study.