Add HuBERT-XL-AntiDeepfake-NDA submission for InTheWild

submissions/hubert-xl-antideepfake-nda.yaml

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+schema_version: 4
+system:
+  name: HuBERT-XL-AntiDeepfake-NDA
+  slug: hubert-xl-antideepfake-nda
+  description: AntiDeepfake detector (HuBERT extra-large 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/HuBERT-XL-AntiDeepfake-NDA/blob/b6ba9945932dabd6a6ffc5c7dc2c7bbb1aaf5180/model.safetensors
+  params_millions: 964.3242
+  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/InTheWild
+  revision: a957f2582802cdb5964e118818c2e46b3d61aa35
+  split: test
+scores:
+  eer_percent: 10.932446381465764
+  n_trials: 31779
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/HuBERT-XL-AntiDeepfake-NDA/resolve/8f1f41a7a981527d336c0035e79ea37db4b58de6/.eval_results/SpeechAntiSpoofingBenchmarks/InTheWild/scores.txt
+  scores_sha256: 0f04f99436fcb1fb2697f5515a65235b82a80927dcb630a83a81bd33c4a0c20a
+  bench_version: speech-spoof-bench==0.3.4
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-09'
+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: '2026-06-09'
+  reproduced_bench_version: speech-spoof-bench==0.3.4
+  match: scoring