56 citations · 64 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…
Interpretable Temporal Class Activation Representation for Audio Spoofing Detection
Menglu Li, Xiao-Ping Zhang
Explaining the decisions made by audio spoofing detection models is crucial for fostering trust in detection outcomes. However, current research on the interpretability of detectio…
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…