Project B2 - Computational Auditory Scene Analysis algorithms for improving speech communication in complex acoustic environments

The long-term goal of this project is to achieve a breakthrough in the theoretical foundation and realization of auditory-inspired algorithms for analysing and processing speech in complex acoustic conditions, in order to fundamentally improve speech communication in these conditions for people with hearing difficulties.

Main research questions are to determine the most promising auditory-inspired and technical processing principles, to identify the possibilities of exploiting machine learning techniques, to optimally integrate the different processing principles and to realize demonstrators that optimally support specific applications such as hearing aids, cochlear implants and assistive listening devices.

Figure 1: Block diagram of the CASA processing framework

Webm2lg5mast+rbder des mobSFvgnB (karin.klifrcecnk@uol.dehljp) (Changed: 2020-01-23)