Národní úložiště šedé literatury Nalezeno 1 záznamů.  Hledání trvalo 0.01 vteřin. 
Deepfake Dataset for Evaluation of Human Capability on Deepfake Recognition
Radačovská, Karolína ; Malinka, Kamil (oponent) ; Firc, Anton (vedoucí práce)
Artificial intelligence is on its way to become one of the most used technologies in the world. Many of us use artificial intelligence every day without hesitation. We got used to it and put our trust in these technologies. However, it is easy to become a victim of this technology too. This thesis reacts to the threats and risks of audio deepfake technologies, a subfield of artificial intelligence. The project primarily aims to conduct an experiment using a proposed quality system rating of audio deepfake evaluation. We found motivation in the increasing number of victims of audio deepfake frauds, unanswered questions concerning the synthetic media, and already conducted experiments with interesting conclusions. Our results brought valuable knowledge about human’s ability to recognize audio deep-fakes of different quality scores. We also found answers to questions about people’s ability to detect deepfakes in their native languages or whether they are more likely to recognize deepfakes using headphones instead of speakers.

Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.