56 citations · 64 across the 4 of their papers we have counts for
5 papers
What Survives the Codec Shift: Pooled No-Vocals Residuals for Speech Deepfake Detection
Jiajun Xu, Menglu Li, Xiao-Ping Zhang
The transition from vocoder-based to neural-codec speech synthesis makes generalization more difficult for speech deepfake detectors, particularly those relying on speech-oriented…
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…
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…