Add nes2net LRLspoof submission (srr_complement 25.27%)

submissions/nes2net.yaml

@@ -0,0 +1,53 @@
+schema_version: 5
+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: lab260/LRLspoof
+  revision: 5caf11349cf96aa198527cfb040cdba585cdd49e
+  split: test
+scores:
+  srr_complement: 25.267277477075446
+  n_trials: 1304455
+  n_skipped: 286
+calibration:
+  source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
+  threshold: 0.9682791464968152
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Nes2Net/resolve/b152d3f64681a14429f4b8dc61cb21bf2eadb32f/.eval_results/lab260/LRLspoof/scores.txt
+  scores_sha256: 3be88eeebf8a3071e26b8034a4e7bc26276d9ba53218a9e72221bb6ee26255cf
+  bench_version: speech-spoof-bench==0.4.1
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-22'
+  reproduced_bench_version: speech-spoof-bench==0.4.1
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-22'
+notes: Nes2Net on LRLspoof (spoof-only, srr_complement = 1-SRR, lower better). TensorRT
+  FP32 engine (parity-verified vs PyTorch). Scored 1,304,455 of 1,304,455 TTS utterances;
+  286 source files are empty/zero-length (skipped), 172 corrupt-header WAVs recovered
+  via ffmpeg. Audio resampled per-file to 16 kHz; score = net(x)[:,1] (higher = bona
+  fide). t* = this model's own DeepVoice EER operating-point threshold (DeepVoice
+  EER 28.66%), transferred via the calibration block. Verified with reproduce --scoring.