5 papers
GenTraceBench: A Benchmark for Tracing Audio Deepfakes Across Pre- and Post-training Stages
Li Wang, Kunyu Feng, Wan Lin +7
Modern text-to-speech (TTS) systems are rarely deployed as unchanged pre-trained models. They are often adapted through supervised fine-tuning (SFT) or preference optimization such…
VoxSafeBench: Not Just What Is Said, but Who, How, and Where
Yuxiang Wang, Hongyu Liu, Yijiang Xu +9
As speech language models (SLMs) transition from personal devices into shared, multi-user environments, their responses must account for far more than the words alone. Who is speak…
DFALLM: Achieving Generalizable Multitask Deepfake Detection by Optimizing Audio LLM Components
Yupei Li, Li Wang, Yuxiang Wang +5
Audio deepfake detection has recently garnered public concern due to its implications for security and reliability. Traditional deep learning methods have been widely applied to th…
Over-the-Air Adversarial Attack Detection: from Datasets to Defenses
Li Wang, Xiaoyan Lei, Haorui He +3
Automatic Speaker Verification (ASV) systems can be used for voice-enabled applications for identity verification. However, recent studies have exposed these systems' vulnerabiliti…
SpMis: An Investigation of Synthetic Spoken Misinformation Detection
Peizhuo Liu, Li Wang, Renqiang He +6
In recent years, speech generation technology has advanced rapidly, fueled by generative models and large-scale training techniques. While these developments have enabled the produ…