Add Nes2Net scores for DECRO (#10)

- Add Nes2Net scores for DECRO (6a4a3accf476e7007d44197cc203e08d7448182b)
- Re-trigger verify-pr (5f88cd2262479bcb36dede1c0d2df03cf252e8e4)
- Re-trigger verify-pr (79533be754f16c540706843416c91fb299d4b1e6)
- Fill reproduction block (scoring) — force merge (CI burst drop) (db6dd1fd98b6eea518202112280ee9f82b859799)

submissions/DECRO/nes2net.yaml

@@ -0,0 +1,43 @@
+schema_version: 4
+system:
+  name: Nes2Net
+  slug: nes2net
+  description: wav2vec 2.0 (XLS-R 300M) self-supervised front-end fine-tuned end-to-end with a Nes2Net-X (Nested Res2Net TDNN)
+    back-end for speech anti-spoofing. The nested Res2Net structure couples multi-scale residual groups with squeeze- excitation,
+    replacing dimensionality-reducing necks; mean temporal pooling + linear classifier. Only ~0.51M back-end params. Official
+    Nes2Net-X single checkpoint (ASVspoof2021 LA 1.73% / DF 1.65% EER as reported), trained on ASVspoof2019 LA with RawBoost,
+    FP32, deterministic first-64600-sample window (no random crop).
+  code: https://github.com/Liu-Tianchi/Nes2Net_ASVspoof_ITW
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Nes2Net
+  params_millions: 317.9026
+  paper:
+    arxiv_id: '2504.05657'
+    url: https://arxiv.org/abs/2504.05657
+    bibtex: "@article{Nes2Net,\n  author={Liu, Tianchi and Truong, Duc-Tuan and Das, Rohan Kumar and Lee, Kong Aik and Li,\
+      \ Haizhou},\n  journal={IEEE Transactions on Information Forensics and Security},\n  title={Nes2Net: A Lightweight Nested\
+      \ Architecture for Foundation Model Driven Speech Anti-Spoofing},\n  year={2025},\n  volume={20},\n  pages={12005--12018},\n\
+      \  doi={10.1109/TIFS.2025.3626963}\n}\n"
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/DECRO
+  revision: bb6df2524eadaab6aa6a2366a41a2a5fe1e4104d
+  split: test
+scores:
+  eer_percent: 12.427971300048329
+  n_trials: 37314
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Nes2Net/resolve/fd7d63127b67fa38b5975185d9ae064623e6f26a/.eval_results/SpeechAntiSpoofingBenchmarks/DECRO/scores.txt
+  scores_sha256: 5aeac3fabaf4486cc996c475db37f7c07f25dc3e94e43f2b94b9f9093665b234
+  bench_version: speech-spoof-bench==0.3.4
+reproduction: {}
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-10'
+notes: XLS-R 300M (wav2vec 2.0) front-end + Nes2Net-X back-end, the single (non-averaged) checkpoint from Liu-Tianchi/Nes2Net_ASVspoof_ITW
+  (Nes_ratio [8,8], SE_ratio [1], pool_func 'mean', dilation 2). Architecture is built from the base xlsr2_300m.pt model config,
+  then every weight is overwritten by the fine-tuned checkpoint. Deterministic first-64600-sample window (no random crop),
+  matching the source data_utils_SSL.py::pad used at eval (default --test_protocol 4sec). score = output logit for class 1
+  (bona fide); higher = more bona fide. Back-end params ~0.51M; params_millions reports the full deployed model incl. the
+  XLS-R front-end.
+# redispatch

submissions/nes2net.yaml

@@ -0,0 +1,46 @@
+schema_version: 4
+system:
+  name: Nes2Net
+  slug: nes2net
+  description: wav2vec 2.0 (XLS-R 300M) self-supervised front-end fine-tuned end-to-end with a Nes2Net-X (Nested Res2Net TDNN)
+    back-end for speech anti-spoofing. The nested Res2Net structure couples multi-scale residual groups with squeeze- excitation,
+    replacing dimensionality-reducing necks; mean temporal pooling + linear classifier. Only ~0.51M back-end params. Official
+    Nes2Net-X single checkpoint (ASVspoof2021 LA 1.73% / DF 1.65% EER as reported), trained on ASVspoof2019 LA with RawBoost,
+    FP32, deterministic first-64600-sample window (no random crop).
+  code: https://github.com/Liu-Tianchi/Nes2Net_ASVspoof_ITW
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Nes2Net
+  params_millions: 317.9026
+  paper:
+    arxiv_id: '2504.05657'
+    url: https://arxiv.org/abs/2504.05657
+    bibtex: "@article{Nes2Net,\n  author={Liu, Tianchi and Truong, Duc-Tuan and Das, Rohan Kumar and Lee, Kong Aik and Li,\
+      \ Haizhou},\n  journal={IEEE Transactions on Information Forensics and Security},\n  title={Nes2Net: A Lightweight Nested\
+      \ Architecture for Foundation Model Driven Speech Anti-Spoofing},\n  year={2025},\n  volume={20},\n  pages={12005--12018},\n\
+      \  doi={10.1109/TIFS.2025.3626963}\n}\n"
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/DECRO
+  revision: bb6df2524eadaab6aa6a2366a41a2a5fe1e4104d
+  split: test
+scores:
+  eer_percent: 12.427971300048329
+  n_trials: 37314
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Nes2Net/resolve/fd7d63127b67fa38b5975185d9ae064623e6f26a/.eval_results/SpeechAntiSpoofingBenchmarks/DECRO/scores.txt
+  scores_sha256: 5aeac3fabaf4486cc996c475db37f7c07f25dc3e94e43f2b94b9f9093665b234
+  bench_version: speech-spoof-bench==0.3.4
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-10'
+  reproduced_bench_version: speech-spoof-bench==0.3.4
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-10'
+notes: XLS-R 300M (wav2vec 2.0) front-end + Nes2Net-X back-end, the single (non-averaged) checkpoint from Liu-Tianchi/Nes2Net_ASVspoof_ITW
+  (Nes_ratio [8,8], SE_ratio [1], pool_func 'mean', dilation 2). Architecture is built from the base xlsr2_300m.pt model config,
+  then every weight is overwritten by the fine-tuned checkpoint. Deterministic first-64600-sample window (no random crop),
+  matching the source data_utils_SSL.py::pad used at eval (default --test_protocol 4sec). score = output logit for class 1
+  (bona fide); higher = more bona fide. Back-end params ~0.51M; params_millions reports the full deployed model incl. the
+  XLS-R front-end.