3 papers
cs.SD2026
ThinkOmni: A Reasoning-Driven Omni-Modal LLM Framework for Audio Forgery Detection and Localization
Yuxiong Xu, Kaiqing Lin, Bin Li +2
Existing audio forgery detection and localization (AFDL) methods often overfit dataset-specific low-level artifacts, limiting their generalization to subtle, localized, and unseen…
eess.AS2025
Adaptive Mixture of Low-Rank Experts for Robust Audio Spoofing Detection
Qixian Chen, Yuxiong Xu, Sara Mandelli +2
In audio spoofing detection, most studies rely on clean datasets, making models susceptible to real-world post-processing attacks, such as channel compression and noise. To overcom…
cs.SD2024
SZU-AFS Antispoofing System for the ASVspoof 5 Challenge
Yuxiong Xu, Jiafeng Zhong, Sengui Zheng +2
This paper presents the SZU-AFS anti-spoofing system, designed for Track 1 of the ASVspoof 5 Challenge under open conditions. The system is built with four stages: selecting a base…