Add Nes2Net submission (ASVspoof5)

submissions/nes2net.yaml

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+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/ASVspoof5
+  revision: 9937de5e630b137bb31e9f5901209b2705ddef63
+  split: test
+scores:
+  eer_percent: 22.249606151053523
+  n_trials: 680774
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Nes2Net/resolve/a36851e6789652797c46b2269c85681bb0c3ac41/.eval_results/SpeechAntiSpoofingBenchmarks/ASVspoof5/scores.txt
+  scores_sha256: c309b4f4620d1b1850667ee172df4cc53b0635432d69c124b7e53030c4875b4b
+  bench_version: speech-spoof-bench==0.3.4
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-08'
+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.
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-08'
+  reproduced_bench_version: speech-spoof-bench==0.3.4
+  match: scoring