News
25.01.2023: Exam booking is possible again.
14.09.2022: Registration details for our seminars in the winter term 2022/2023 were added.
01.06.2022: New "People in Town".
05.03.2022: A new podcast on our research on signal processing for underwater applications is online now.
25.02.2022: Our review of 2021 is ready. Interested pepole might have a look here.
24.02.2022: Registration details for our new machine learning lab in the summer term 2022 were added.
04.02.2022: Eric Elzenheimer sucessfully defended his PhD work in the summer term 2022.
28.09.2021: We host the 14th ITG Conference on Speech Communication. It will start tomorrow and we are looking forward to a very interesting program.
31.07.2021: We started to prepare the new machine learning lab. It should start in summer term 2022.
Research
Our research is focused on adaptive signal processing with special focus on real-time application in speech communication in adverse environments, medical applications, and underwater systems.
Since 2010 the DSS group is developing KiRAT, an acronym that stands for Kiel Real-Time Application Toolkit. First, it was made for audio and speech processing. Meanwhile, it also supports medical und underwater applications.
Team
The "Digital Signal Processing and System Theory" (DSS) team welcomes you on our homepage. Currently we consist of five professors or lecturers (Jan Abshagen, Frank Ehlers, Ulrich Heute, Klaus Linhard, and Gerhard Schmidt), two secretaries (Petra Usinger, Kathrin Büsse), one system administrator (Kevin Prehn), about fifteen internal and external PhD students, as well as several master and bachelor students. More details about us can be found in our team section.
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Karolin Krüger was one of the four winners of the EmpowerMINT awards this year. With this price our university aims to honour particular achievements by female students and female graduates in Mathematics, IT, Natural Sciences and Technology, known as the MINT subjects. Congratulations from the whole DSS team.Karolin obtained the award for her master thesis on automatic evaluation of speech parameters which is very useful if one wants to monitor the impact on different speech therapies (e.g. for Parkinson patients) in a robust, reliable, and objective manner. She will continue with this topic (and extensions of it) as her PhD work in our group.