Welcome to the Department of Communications Engineering

Welcome to the website of the Department of Communications Engineering at Paderborn University. We would like to invite you to find out a little about us and our work.

Machine learning methods, and in particular deep neural networks, have led to drastic improvements in many fields of technology. We complement these data-driven methods with model-based approaches to statistical signal processing in order to solve a wide range of speech and audio signal processing tasks in an innovative way.

„The interdisciplinary research network SAIL addresses the next stage of AI development by focussing on the entire life cycle of AI systems and their technological and social impact.”

Prof. Dr. Reinhold Häb-Umbach,
One of the project managers in the SAIL research network from Paderborn

News from the workgroup

15.04.2024

Portrait of a scientist: Christoph Böddeker

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15.01.2024

IEEE ASRU 2023: Invited lecture by Prof. Häb-Umbach

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21.08.2023

Splitting, understanding and manipulating the human voice

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28.04.2023

HNI Forum: Speech Recognition and Machine Listening: Recent Trends and Developments

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More news

Team, publications, bachelor/master theses

Publications

Bachelor's and Master's theses

Research, teaching, projects

Research

We are researching methods to make automatic speech recognition more reliable, energy-efficient and flexible. We are broadening our view to future scenarios in which multiple recording devices are available in a distributed environment and other acoustic signals are analysed to improve the user experience.

Research topics

Teaching

We are intensively involved in the teaching and training of students and young academics such as doctoral candidates, post-doctoral candidates and junior professors with the aim of providing them with the skills they need to shape the future.

Courses

Projects

We can provide companies with significant impetus for innovation and for maintaining their competitiveness.

Project overview

„I deal with the transcription of conversations: Who said what and when. The focus here is on signals when several people speak at the same time. This also includes the so-called cocktail party effect, i.e. transferring the selective hearing of the human ear to the computer.”

Christoph Böddeker,
Scientist from the "Communications Engineering" workgroup at the Heinz Nixdorf Institute at Paderborn University from Paderborn