4 papers · 1 filter
Alethia: A Foundational Encoder for Voice Deepfakes
Yi Zhu, Brahmi Dwivedi, Jayaram Raghuram +1
Existing voice deepfake detection and localization models rely heavily on representations extracted from speech foundation models (SFMs). However, downstream finetuning has now rea…
ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection
Benjamin Chou, Yi Zhu, Surya Koppisetti
Audio deepfakes pose a significant security threat, yet current state-of-the-art (SOTA) detection systems do not generalize well to realistic in-the-wild deepfakes. We introduce a…
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…