Hierarchical models of acoustic information processing and their application for source detection and enhancement (B03)

• Subject Area: Acoustics
• Term: since 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 352015383

At the core of this project is the CRC’s acoustic communication loop, implemented as a hierarchy of con-secutive processing layers, in which the sound field is transformed into an increasingly abstract and invar-iant („high-level“) representation. Subsequent to an active listening decision at the top-level, the counter-part 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 net-works for learning in hierarchical architectures and statistical signal processing for optimal parameter in-ference are combined.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1330: Hearing acoustics: Perceptual principles, Algorithms and Applications (HAPPAA)
• Applicant Institution: Carl von Ossietzky Universität Oldenburg
• Project Head: Dr. Jörn Anemüller