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submissions/rescapsguard.yaml

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+schema_version: 4
+
+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}
+      }
+
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/CD-ADD
+  revision: c2de87d49b268b624e6af7440dc2890703098965
+  split: test
+
+scores:
+  eer_percent: 54.55114019051285
+  n_trials: 20786
+  n_skipped: 0
+
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/ResCapsGuard/resolve/e0d6c1e4c8b963d7d77ef01781819e5145c7a673/.eval_results/SpeechAntiSpoofingBenchmarks/CD-ADD/scores.txt
+  scores_sha256: 005f342281f55915706e905e11429a43f603a300861c1ccbcc806b170d05fed7
+  bench_version: speech-spoof-bench==0.3.0
+
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: 2026-06-02
+  reproduced_bench_version: speech-spoof-bench==0.3.0
+  match: scoring
+
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+
+submitted_at: 2026-06-02
+notes: >
+  Deterministic first-64600-sample window (no random crop). Out-of-domain
+  (modern neural-TTS); the capsule model trained on ASVspoof2019 LA does not
+  generalize here, as with its Res2TCNGuard sibling.