7 citations · 21 across the 8 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.SD2026
Too Emotional to Be Fake? Intra-Utterance Emotion Shifts Expose Failure Modes in Speech Deepfake Detectors
Jingyi Chen, Surya Koppisetti
Expressive speech synthesis can now change emotion within a single utterance, yet its impact on deepfake detection remains unclear. We introduce EmoShift, a benchmark comparing emo…
cs.SD2026
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…
cs.SD2026
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…