< Back to previous page

Project

Shared acoustic awareness and algorithm self-configuration in a cooperative audio signal processing context

When cooperative audio processing algorithms are envisaged to run on different audio devices located in the same acoustic environment, a number of crucial questions arises on how this cooperation can be seamlessly organized and managed. First, devices should decide which information on the acoustic scene to share with other devices for increasing the overall acoustic awareness (e.g. room acoustics parameters, sound source models and locations, relative transducer positions, ...). Second, when different devices aim to solve complementary or conflicting tasks, algorithms should be configured in a larger context than only their own task. In this project, a general framework with case studies will be developed for how devices can achieve shared acoustic awareness and how algorithms can optimally self-configure.

Date:22 Jan 2021 →  Today
Keywords:signal processing, acoustics
Disciplines:Audio and speech processing
Project type:PhD project