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pro vyhledávání: '"Czempin, Pavel"'
Autor:
Czempin, Pavel, Gleave, Adam
Self-play reinforcement learning has achieved state-of-the-art, and often superhuman, performance in a variety of zero-sum games. Yet prior work has found that policies that are highly capable against regular opponents can fail catastrophically again
Externí odkaz:
http://arxiv.org/abs/2208.05083
Autor:
Müller, Nicolas M., Czempin, Pavel, Dieckmann, Franziska, Froghyar, Adam, Böttinger, Konstantin
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 techniques for detecting audio spoofs, it is often unclear exactly why these
Externí odkaz:
http://arxiv.org/abs/2203.16263
Autor:
Müller, Nicolas M., Dieckmann, Franziska, Czempin, Pavel, Canals, Roman, Böttinger, Konstantin, Williams, Jennifer
Publikováno v:
ASVspoof 2021 Workshop
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 and test splits, which tends to correlate with the target prediction l
Externí odkaz:
http://arxiv.org/abs/2106.12914