3 papers
cs.SD2026
Quantizer-Aware Hierarchical Neural Codec Modeling for Speech Deepfake Detection
Jinyang Wu, Zihan Pan, Qiquan Zhang +2
Neural audio codecs discretize speech via residual vector quantization (RVQ), forming a coarse-to-fine hierarchy across quantizers. While codec models have been explored for repres…
cs.SD2025
SEA-Spoof: Bridging The Gap in Multilingual Audio Deepfake Detection for South-East Asian
Jinyang Wu, Nana Hou, Zihan Pan +3
The rapid growth of the digital economy in South-East Asia (SEA) has amplified the risks of audio deepfakes, yet current datasets cover SEA languages only sparsely, leaving models…
cs.SD2025
MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection
Zihan Pan, Sailor Hardik Bhupendra, Jinyang Wu
While self-supervised learning (SSL)-based models have boosted audio deepfake detection accuracy, fully finetuning them is computationally expensive. To address this, we propose a…