25 citations · 49 across the 3 of their papers we have counts for
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cs.SD2023★ 25 cited
Audio Deepfake Detection: A Survey
Jiangyan Yi, Chenglong Wang, Jianhua Tao +3
Audio deepfake detection is an emerging active topic. A growing number of literatures have aimed to study deepfake detection algorithms and achieved effective performance, the prob…
cs.SD2023★ 20 cited
ADD 2023: the Second Audio Deepfake Detection Challenge
Jiangyan Yi, Jianhua Tao, Ruibo Fu +15
Audio deepfake detection is an emerging topic in the artificial intelligence community. The second Audio Deepfake Detection Challenge (ADD 2023) aims to spur researchers around the…
cs.SD2022★ 4 cited
EmoFake: An Initial Dataset for Emotion Fake Audio Detection
Yan Zhao, Jiangyan Yi, Jianhua Tao +3
Many datasets have been designed to further the development of fake audio detection, such as datasets of the ASVspoof and ADD challenges. However, these datasets do not consider a…