20 citations · 32 across the 4 of their papers we have counts for
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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★ 1 cited
ADD 2022: the First Audio Deep Synthesis Detection Challenge
Jiangyan Yi, Ruibo Fu, Jianhua Tao +17
Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021. However, the recent shared tasks have not covered many real-life and challenging scenarios.…
cs.SD2018★ 8 cited
Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training
Bin Liu, Shuai Nie, Yaping Zhang +3
In realistic environments, speech is usually interfered by various noise and reverberation, which dramatically degrades the performance of automatic speech recognition (ASR) system…