20 citations · 32 across the 5 of their papers we have counts for
5 papers
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…
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.…
BViT: Broad Attention based Vision Transformer
Nannan Li, Yaran Chen, Weifan Li +2
Recent works have demonstrated that transformer can achieve promising performance in computer vision, by exploiting the relationship among image patches with self-attention. While…
Deep Segment Attentive Embedding for Duration Robust Speaker Verification
Bin Liu, Shuai Nie, Yaping Zhang +2
LSTM-based speaker verification usually uses a fixed-length local segment randomly truncated from an utterance to learn the utterance-level speaker embedding, while using the avera…
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…