Add xls-r-2b-antideepfake LRLspoof submission (srr_complement 0.47%)

submissions/xls-r-2b-antideepfake.yaml

@@ -0,0 +1,49 @@
+schema_version: 5
+system:
+  name: XLS-R-2B-AntiDeepfake
+  slug: xls-r-2b-antideepfake
+  description: AntiDeepfake detector (XLS-R 2B self-supervised backbone) post-trained
+    for deepfake speech detection with RawBoost data augmentation (default variant);
+    head = AdaptiveAvgPool1d + Linear(D,2), score = real logit. Released by nii-yamagishilab
+    (arXiv:2506.21090). Evaluated with a deterministic first-4 s window + batching
+    (NOT the paper's whole-utterance protocol).
+  code: https://github.com/nii-yamagishilab/AntiDeepfake
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/XLS-R-2B-AntiDeepfake/blob/dde29a655a743ad4837dc943863bd8c240635a65/model.safetensors
+  params_millions: 2162.9362
+  paper:
+    arxiv_id: '2506.21090'
+    url: https://arxiv.org/abs/2506.21090
+    bibtex: "@article{ge2025posttraining,\n  title={Post-training for Deepfake Speech\
+      \ Detection},\n  author={Ge, Wanying and Wang, Xin and Yamagishi, Junichi and\
+      \ others},\n  journal={arXiv preprint arXiv:2506.21090},\n  year={2025}\n}\n"
+dataset:
+  id: lab260/LRLspoof
+  revision: 5caf11349cf96aa198527cfb040cdba585cdd49e
+  split: test
+scores:
+  srr_complement: 0.46543047718509145
+  n_trials: 1304455
+  n_skipped: 286
+calibration:
+  source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
+  threshold: 2.0150496735668786
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/XLS-R-2B-AntiDeepfake/resolve/f54cf89fe5bf1fad8f3ccaabed31e6d9288442cf/.eval_results/lab260/LRLspoof/scores.txt
+  scores_sha256: f3607b99824c8931118d61bd41d435b6b465e2218630d5a897dabd19b71b3f2b
+  bench_version: speech-spoof-bench==0.4.1
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-23'
+  reproduced_bench_version: speech-spoof-bench==0.4.1
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-23'
+notes: XLS-R-2B-AntiDeepfake on LRLspoof (spoof-only, srr_complement = 1-SRR, lower
+  better). TensorRT 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 4.94%), transferred via the calibration block. Verified with reproduce
+  --scoring.