2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
DuRe-ST: Dual-Relation Spectro-Temporal Modeling for Speech Deepfake Detection
Shaole Li, Siqing Qin, Youzhi Tu +1
Previous speech deepfake detectors can adaptively capture spectro-temporal dependencies through graph attention, yet they largely overlook the co-variation between spectral and tem…
Source-Directed Trajectory Perturbation at First-Order Cost for Domain Generalization in Speech Deepfake Detection
Siqing Qin, Kong Aik Lee, Youzhi Tu
Speech deepfake detectors often lose accuracy when the distribution of the test data differs from that of the training data. Meta-learning for domain generalization (MLDG) shows pr…
DGS-MLDG: Domain Gradient Surgery Guided Meta-Learning for Domain Generalization in Speech Deepfake Detection
Siqing Qin, Kong Aik Lee, Youzhi Tu +2
Speech deepfake detection faces significant challenges due to domain shifts. Domain generalization (DG), particularly meta-learning for domain generalization (MLDG), offers a promi…
Contrastive Speaker Embedding With Sequential Disentanglement
Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien
Contrastive speaker embedding assumes that the contrast between the positive and negative pairs of speech segments is attributed to speaker identity only. However, this assumption…