3 papers
cs.SD2026
Fine-Grained Frame Modeling in Multi-head Self-Attention for Speech Deepfake Detection
Tuan Dat Phuong, Duc-Tuan Truong, Long-Vu Hoang +1
Transformer-based models have shown strong performance in speech deepfake detection, largely due to the effectiveness of the multi-head self-attention (MHSA) mechanism. MHSA provid…
cs.SD2025
XLSR-Kanformer: A KAN-Intergrated model for Synthetic Speech Detection
Phuong Tuan Dat, Tran Huy Dat
Recent advancements in speech synthesis technologies have led to increasingly sophisticated spoofing attacks, posing significant challenges for automatic speaker verification syste…
cs.SD2025
Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models
Tuan Dat Phuong, Long-Vu Hoang, Huy Dat Tran
Recent advancements in speech synthesis technologies have led to increasingly advanced spoofing attacks, posing significant challenges for automatic speaker verification systems. W…