Add XLS-R-1B-AntiDeepfake-NDA submission for PyAra

submissions/xls-r-1b-antideepfake-nda.yaml

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+schema_version: 4
+system:
+  name: XLS-R-1B-AntiDeepfake-NDA
+  slug: xls-r-1b-antideepfake-nda
+  description: AntiDeepfake detector (XLS-R 1B self-supervised backbone) post-trained
+    for deepfake speech detection without data augmentation (NDA 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-1B-AntiDeepfake-NDA/blob/6639543fa3696139a5948ae73685a2721e606f80/model.safetensors
+  params_millions: 965.5173
+  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: SpeechAntiSpoofingBenchmarks/PyAra
+  revision: 40167badd6d8a289f02054761ee5411f49227b87
+  split: test
+scores:
+  eer_percent: 0.2881100254134787
+  n_trials: 201778
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/XLS-R-1B-AntiDeepfake-NDA/resolve/bebf4dba4132eb60a84c3e08153f3ac80044230f/.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/scores.txt
+  scores_sha256: e0921446df885cf581df28fff4241c96359209d68730a23ba5b5e851361e8fc7
+  bench_version: speech-spoof-bench==0.3.4
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-11'
+notes: Fixed first-4 s (64000-sample) window + batching; NOT the paper's whole-utterance
+  protocol. Score = real logit. CC BY-NC-SA 4.0.
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-11'
+  reproduced_bench_version: speech-spoof-bench==0.3.4
+  match: scoring