208 citations · 323 across the 28 of their papers we have counts for
31 papers
Evaluating voice anonymisation using similarity rank disclosure
Shilpa Chandra, Matteo Pettenò, Nicholas Evans +7
The evaluation of voice anonymisation remains challenging. Current practice relies on automatic speaker verification metrics such as the equal error rate (EER). Performance estimat…
Lightweight Model Attribution and Detection of Synthetic Speech via Audio Residual Fingerprints
Matías Pizarro, Mike Laszkiewicz, Dorothea Kolossa +1
As speech generation technologies advance, so do risks of impersonation, misinformation, and spoofing. We present a lightweight, training-free approach for detecting synthetic spee…
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution
Matías Pizarro, Dorothea Kolossa, Asja Fischer
Adversarial attacks can mislead automatic speech recognition (ASR) systems into predicting an arbitrary target text, thus posing a clear security threat. To prevent such attacks, w…
RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs
Wentao Yu, Benedikt Boenninghoff, Jonas Roehrig +1
This work presents an ensemble system based on various uni-modal and bi-modal model architectures developed for the SemEval 2022 Task 5: MAMI-Multimedia Automatic Misogyny Identifi…
Robustifying automatic speech recognition by extracting slowly varying features
Matías Pizarro, Dorothea Kolossa, Asja Fischer
In the past few years, it has been shown that deep learning systems are highly vulnerable under attacks with adversarial examples. Neural-network-based automatic speech recognition…
Federated Learning in ASR: Not as Easy as You Think
Wentao Yu, Jan Freiwald, Sören Tewes +2
With the growing availability of smart devices and cloud services, personal speech assistance systems are increasingly used on a daily basis. Most devices redirect the voice record…