collaborators

5 papers

cs.SD2025

EnvId: A Metric Learning Approach for Forensic Few-Shot Identification of Unseen Environments

Denise Moussa, Germans Hirsch, Christian Riess

Audio recordings may provide important evidence in criminal investigations. One such case is the forensic association of a recorded audio to its recording location. For example, a…

cs.CV2024

Trustworthy Compression? Impact of AI-based Codecs on Biometrics for Law Enforcement

Sandra Bergmann, Denise Moussa, Christian Riess

Image-based biometrics can aid law enforcement in various aspects, for example in iris, fingerprint and soft-biometric recognition. A critical precondition for recognition is the a…

eess.AS2024

Point to the Hidden: Exposing Speech Audio Splicing via Signal Pointer Nets

Denise Moussa, Germans Hirsch, Sebastian Wankerl +1

Verifying the integrity of voice recording evidence for criminal investigations is an integral part of an audio forensic analyst's work. Here, one focus is on detecting deletion or…

cs.CV2024

Forensic License Plate Recognition with Compression-Informed Transformers

Denise Moussa, Anatol Maier, Andreas Spruck +2

Forensic license plate recognition (FLPR) remains an open challenge in legal contexts such as criminal investigations, where unreadable license plates (LPs) need to be deciphered f…

cs.SD2024

Towards Unconstrained Audio Splicing Detection and Localization with Neural Networks

Denise Moussa, Germans Hirsch, Christian Riess

Freely available and easy-to-use audio editing tools make it straightforward to perform audio splicing. Convincing forgeries can be created by combining various speech samples from…