Dr.-Ing. Tim Polzehl

Contact +49 30 23895 1863 (Berlin)

Address (Berlin) DFKI Labor Berlin - HauptgebäudeAlt-Moabit 91cD-10559 Berlin

Publications

Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection
Yassine El Kheir; Younes Samih; Suraj Maharjan; Tim Polzehl; Sebastian Möller
In: Luis Chiruzzo; Alan Ritter; Lu Wang (Hrsg.). Findings of the Association for Computational Linguistics: NAACL 2025. Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-2025), April 29 - May 4, Albuquerque, USA, Pages 4070-4082, ISBN 979-8-89176-195-7, Association for Computational Linguistics, 4/2025.
Speecher: Towards Privacy Ensuring Decoder Only Speech Reconstruction Through Disentanglement for German Speech Anonymization Using Any-to-Many Voice Conversion
Arnab Das; Carlos Franzreb; Suhita Ghosh; Tim Polzehl; Sebastian Möller
In: ISCA Archive. Symposium on Security and Privacy in Speech Communication (SPSC-2024), located at SPSC, ISCA, 9/2024.
Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking
Vera Schmitt; Balazs Csomor; Joachim Meyer; Luis-Felipe Villa-Arenas; Charlott Jakob; Tim Polzehl; Sebastian Möller
In: Proceedings of the 3rd ACM International Workshop on Multimedia AI against Disinformation. ACM International Workshop on Multimedia AI against Disinformation (MAD-24), ISBN 979-8-4007-05526, Association for Computing Machinery, New York, NY, USA, 2024.

VERANDA
Trustworthy anonymization of sensitive patient data for remote consultations
The primary aim of VERANDA is to explore and promote informational self-determination in the context of personal and sensitive medical data, especially among stigmatized groups. This includes…
news-polygraph
Privacy, transparency, bias-free, trustworthy multimodal disinformation fighting
In the news-polygraph project, we are developing digital methods for the media industry, with the help of which multimedia content can be checked more easily and quickly for manipulation,…
Medinym
AI-based anonymization of personal patient data in clinical text and voice databases
In the Medinym project, we are pursuing the goal of completely anonymising the speaker identity of a speaker, both on voice and on statement/semantic level, without losing emotional or diagnostic…
PYSA
Care documentation with a hybrid speech assistant
Comprehensive and accurate documentation is essential for needs-based care. In many places, the systems and processes used today for care documentation are time-consuming and prone to errors.…
Emonymous
Emonymous
Interactive intelligent speech technologies are conquering our homes. In the Emonymous project, we are pursuing the goal of completely anonymizing a speaker's identity without losing emotional and…