Project B3 - Hierarchical models of acoustic information processing and their application for source detection and enhancement
At the core of this project is the CRC’s acoustic communication loop, implemented as a hierarchy of consecutive processing layers, in which the sound field is transformed into an increasingly abstract and invariant („high-level“) representation. Subsequent to an active listening decision at the top-level, the counterpart to the subject's percept, the hierarchy is traversed in reverse („top-down“) direction.
This facilitates inference of optimal parameters of an assistive device that enhances the sound field in accordance with the user’s wish. To achieve this goal, methods from psychoacoustics for feature extraction, deep neural networks for learning in hierarchical architectures and statistical signal processing for optimal parameter inference are combined.