4 papers
Time-Frequency Consistency Learning for Robust Speech Deepfake Detection
Jun Xue, Zhuolin Yi, Yanzhen Ren +6
Recently, speech deepfake detection (SDD) has achieved significant progress. However, its robustness evaluation remains largely confined to controlled additive noise scenarios, lac…
Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detection
Jun Xue, Tong Zhang, Zhuolin Yi +4
The rapid advancement of generative AI has made audio deepfakes increasingly indistinguishable from authentic human vocals, posing significant threats to persons-of-interest (POI)…
When AVSR Meets Video Conferencing: Dataset, Degradation, and the Hidden Mechanism Behind Performance Collapse
Yihuan Huang, Jun Xue, Liu Jiajun +5
Audio-Visual Speech Recognition (AVSR) has achieved remarkable progress in offline conditions, yet its robustness in real-world video conferencing (VC) remains largely unexplored.…
EchoFake: A Replay-Aware Dataset for Practical Speech Deepfake Detection
Tong Zhang, Yihuan Huang, Yanzhen Ren
The growing prevalence of speech deepfakes has raised serious concerns, particularly in real-world scenarios such as telephone fraud and identity theft. While many anti-spoofing sy…