system:
  name: "ResCapsGuard"
  slug: "rescapsguard"
  description: >
    Capsule-based anti-spoofing countermeasure: sinc-convolution front-end,
    Res2Net-style encoder, primary capsules, and dynamic routing to two output
    capsules (bona fide vs. spoof). ASVspoof2019 LA pretrained, FP32,
    deterministic first-64600-sample window (no random crop).
  code: "https://github.com/lab260ru/ResCapsGuard"
  checkpoint: "https://huggingface.co/SpeechAntiSpoofingBenchmarks/ResCapsGuard/blob/4f7f2bc745cb3980f9fd3c29811afe0744a28edd/new_capsules_changed_sinc_layer.pth"
  params_millions: 1.606664
  paper:
    arxiv_id: "10.48084/etasr.8906"
    url: "https://etasr.com/index.php/ETASR/article/view/8906"
    bibtex: |
      @article{Borodin_Kudryavtsev_Mkrtchian_Gorodnichev_2024,
        place={Greece},
        title={Capsule-based and TCN-based Approaches for Spoofing Detection in Voice Biometry},
        volume={14},
        number={6},
        url={https://etasr.com/index.php/ETASR/article/view/8906},
        DOI={10.48084/etasr.8906},
        journal={Engineering, Technology & Applied Science Research},
        author={Borodin, Kirill and Kudryavtsev, Vasiliy and Mkrtchian, Grach and Gorodnichev, Mikhail},
        year={2024},
        month={Dec.},
        pages={18409--18414}
      }
notes: "Deterministic first-64600-sample window (no random crop)."