20 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.SD2023★ 5 cited
Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection
Chenglong Wang, Jiangyan Yi, Xiaohui Zhang +3
Self-supervised speech models are a rapidly developing research topic in fake audio detection. Many pre-trained models can serve as feature extractors, learning richer and higher-l…
cs.SD2023★ 1 cited
Adaptive Fake Audio Detection with Low-Rank Model Squeezing
Xiaohui Zhang, Jiangyan Yi, Jianhua Tao +3
The rapid advancement of spoofing algorithms necessitates the development of robust detection methods capable of accurately identifying emerging fake audio. Traditional approaches,…
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…