4 papers
HQ-MPSD: A Multilingual Artifact-Controlled Benchmark for Partial Deepfake Speech Detection
Menglu Li, Majd Alber, Ramtin Asgarianamiri +2
Detecting partial deepfake speech is challenging because manipulations occur only in short regions while the surrounding audio remains authentic. However, existing detection method…
Frame-level Temporal Difference Learning for Partial Deepfake Speech Detection
Menglu Li, Xiao-Ping Zhang, Lian Zhao
Detecting partial deepfake speech is essential due to its potential for subtle misinformation. However, existing methods depend on costly frame-level annotations during training, l…
A Survey on Speech Deepfake Detection
Menglu Li, Yasaman Ahmadiadli, Xiao-Ping Zhang
The availability of smart devices leads to an exponential increase in multimedia content. However, advancements in deep learning have also enabled the creation of highly sophistica…
Beyond Identity: A Generalizable Approach for Deepfake Audio Detection
Yasaman Ahmadiadli, Xiao-Ping Zhang, Naimul Khan
Deepfake audio presents a growing threat to digital security, due to its potential for social engineering, fraud, and identity misuse. However, existing detection models suffer fro…