11 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…
Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis
Zhuolin Yi, Jun Xue, Yanzhen Ren +5
The scale of speech anti-spoofing datasets has grown exponentially over the past decade, driven by the assumption that larger data leads to better performance. However, it remains…
Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs
Jun Xue, Yi Chai, Yanzhen Ren +6
Existing speech editing detection (SED) datasets are predominantly constructed using manual splicing or limited editing operations, resulting in restricted diversity and poor cover…
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)…
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…
RTCFake: Speech Deepfake Detection in Real-Time Communication
Jun Xue, Zhuolin Yi, Yihuan Huang +6
With the rapid advancement of speech generation technologies, the threat posed by speech deepfakes in real-time communication (RTC) scenarios has intensified. However, existing det…