7 citations · 21 across the 8 of their papers we have counts for
4 papers · 1 filter
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge
Yi Zhu, Chirag Goel, Surya Koppisetti +3
Audio deepfake detection is crucial to combat the malicious use of AI-synthesized speech. Among many efforts undertaken by the community, the ASVspoof challenge has become one of t…
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
Yi Zhu, Surya Koppisetti, Trang Tran +1
Audio deepfake detection (ADD) is crucial to combat the misuse of speech synthesized from generative AI models. Existing ADD models suffer from generalization issues, with a large…
Towards Attention-based Contrastive Learning for Audio Spoof Detection
Chirag Goel, Surya Koppisetti, Ben Colman +2
Vision transformers (ViT) have made substantial progress for classification tasks in computer vision. Recently, Gong et. al. '21, introduced attention-based modeling for several au…
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection
Trevine Oorloff, Surya Koppisetti, Nicolò Bonettini +5
With the rapid growth in deepfake video content, we require improved and generalizable methods to detect them. Most existing detection methods either use uni-modal cues or rely on…