7 citations · 7 across the 2 of their papers we have counts for
3 papers
Attacker Attribution of Audio Deepfakes
Nicolas M. Müller, Franziska Dieckmann, Jennifer Williams
Deepfakes are synthetically generated media often devised with malicious intent. They have become increasingly more convincing with large training datasets advanced neural networks…
Does Audio Deepfake Detection Generalize?
Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann +2
Current text-to-speech algorithms produce realistic fakes of human voices, making deepfake detection a much-needed area of research. While researchers have presented various techni…
Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?
Nicolas M. Müller, Franziska Dieckmann, Pavel Czempin +3
We present our analysis of a significant data artifact in the official 2019/2021 ASVspoof Challenge Dataset. We identify an uneven distribution of silence duration in the training…