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News/Deepfake Audio Detection Using Self-supervised Fusion Representations
arxiv
PublishedMay 7, 2026 at 4:00 AM
—neutral

Deepfake Audio Detection Using Self-supervised Fusion Representations

Source
arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2605.03420v1 Announce Type: cross Abstract: This paper describes a submission to the Environment-Aware Speech and Sound Deepfake Detection Challenge (ESDD2) 2026, which addresses component-level deepfake detection using the CompSpoofV2 dataset, where speech and environmental sounds may be inde

Models mentioned
01
  • 01facebook logo
    XLS-R
    facebook/XLS-R
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Mentioned models
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  • 01
    XLS-R
    facebook/XLS-R
  • 02
    BEATs
  • 03
    AASIST
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Tags
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#deepfake-detection#speech-processing#environmental-sounds
Mentioned companies
01
Facebook

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Mentioned models
03
  • 01
    XLS-R
    facebook/XLS-R
  • 02
    BEATs
  • 03
    AASIST
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#deepfake-detection#speech-processing#environmental-sounds
Mentioned companies
01
Facebook

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arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation1harxivCounterfactual Model Testing Under Distribution Shift1harxivCentralized Critics for N-Agent Ad Hoc Teamwork1harxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning1h
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