Development of Generalizable SATIE Mappers that Optimized Audio Spatialization Flexibility

SATIE(Spatial Audio Toolkit for Immersive Environments) can be used for audio spatialization. It is an audio spatialization engine programmed in SuperCollider that can render dense audio scenes to large multi-channel loudspeaker systems in real time. This lower-level audio rendering process maintains a dynamic DSP graph created and controlled via OSC messages from the external process. SATIE can be used not only for sound object control (location, propagation, etc.) but it can also be used for Haptic Floor dedicated to large immersive spaces. In this project, however, we focus on a function of SATIE is that implementing geometry understanding at a spatializer level. In this case, we usually apply the current version of SATIE mappers plugin to perform this function. A mapper plugin does not process audio, it can be used for provide for non-generic control and geometric computation of lower-level spatialization parameters. However, it still has limitations that need to be programmed for each use case. In order to perfect it and improve its efficiency, we need to design and implement the generalizable SATIE mappers that could get all loaded spatializers and set them at a relative distance concerning each other. In other words, it is necessary to make each different spatializer in different positions recognize the relative position of each other. The proposed mappers will be designed to overcome these limitations and will be tested with different spatializer configurations. This project will provide SATIE with a powerful and flexible tool that will enable users to create rich and diverse sound spatial effects in different scenarios.