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20162026
most citedLeveraging Frequency Analysis for Deep Fake Image Recognition

208 citations · 323 across the 28 of their papers we have counts for

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10 papers · 1 filter

eess.AS2026

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…

eess.AS2024

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…

eess.AS2021★ 1 cited

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…

eess.AS2021★ 7 cited

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…

eess.AS2021

Large-vocabulary Audio-visual Speech Recognition in Noisy Environments

Wentao Yu, Steffen Zeiler, Dorothea Kolossa

Audio-visual speech recognition (AVSR) can effectively and significantly improve the recognition rates of small-vocabulary systems, compared to their audio-only counterparts. For l…

eess.AS2021★ 2 cited

Fusing information streams in end-to-end audio-visual speech recognition

Wentao Yu, Steffen Zeiler, Dorothea Kolossa

End-to-end acoustic speech recognition has quickly gained widespread popularity and shows promising results in many studies. Specifically the joint transformer/CTC model provides v…