Featured talks

Over the years Hannover Medical School has build a comprehensive data pool for patients with implantable hearing devices, which serves as a basis for answering various research questions and big data analyses.

Connectivity is transforming the hearing care model significantly.

Patient-centric medical research benefits from the sharing and integration of complex and diverse data from different sources such as care, clinical research, and novel emerging data types.

There is no doubt that the move away from paper-based health records to electronic health records has been important for many reasons.

In the Clarity project, the machine learning approach is applied to the problem of hearing aid processing of speech-in-noise.

Machine learning has various applications in auditory modelling and the approaches combined will transform individual testing and processing in hearing devices.

Research in the last decades with the audiological data led to many important discoveries, and today, as the area of data emerges the focus turns to maturing those discoveries along the dimensions of coverage, applicability, bias, and privacy into solutions that improve the lives for people with hearing problems.

herethe concept and principles of knowledge discovery from databases are revisited and applied on the scope of two recently published studies about auditory profiling.

In our group at Oldenburg University, we developed virtual audiovisual environments representing everyday-life listening situations.

Here you can watch the ISA webinar about Computational Audiology held on 9 December 2020                         Computational Audiology from…