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.

News from the workgroup

27.02.2026

IEEE Dis­tin­guished In­dustry Speak­er Dr To­mo­hiro Na­katani gives gate lec­ture at Pader­born Uni­ver­sity

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27.10.2025

Deep gen­er­at­ive mod­els for phon­et­ics re­search

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24.10.2025

WestAI - AI ser­vices for SMEs and sci­ence

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30.09.2025

Com­mu­nic­a­tions En­gin­eer­ing Group vis­its In­ter­speech Con­fer­ence in Rot­ter­dam

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24.09.2025

"Com­mu­nic­a­tions En­gin­eer­ing" work­group well rep­res­en­ted at the ITG Con­fer­ence on Speech Com­mu­nic­a­tion in Ber­lin

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12.09.2025

Deep Phon­et­ics

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26.08.2025

Doc­tor­al can­did­ate in com­mu­nic­a­tions en­gin­eer­ing 8 weeks at the "Jelinek Sum­mer Work­shop on Speech and Lan­guage Tech­no­logy" in the…

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07.07.2025

Pro­fess­or Nobu­taka Ono from Tokyo Met­ro­pol­it­an Uni­ver­sity as a guest at the work­shop

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13.06.2025

Our "Com­mu­nic­a­tions En­gin­eer­ing" work­group wins the team event at this year's bar­be­cue

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07.04.2025

Our Com­mu­nic­a­tions En­gin­eer­ing Group rep­res­en­ted at 2025 ICAS­SP Con­fer­ence in In­dia

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26.03.2025

100 years of Heinz Nix­dorf: puzzle, listen, mar­vel - im­merse your­self in the world of com­mu­nic­a­tion

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12.03.2025

DFG pro­ject "Auto­mat­ic tran­scrip­tion of con­ver­sa­tion­al situ­ations" - Prof Häb-Um­bach in an in­ter­view with Deutsch­land­funk

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12.02.2025

New meth­od achieves top marks for the auto­mat­ic tran­scrip­tion of con­ver­sa­tions

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16.09.2024

"Com­mu­nic­a­tions En­gin­eer­ing" work­group at EU­SIPCO 2024

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01.09.2024

Re­in­hold Häb-Um­bach at In­ter­speech 2024

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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