Add wav2vec2-large-antideepfake-nda EmoSpoofTTS submission (srr_complement 8.27%)

submissions/wav2vec2-large-antideepfake-nda.yaml

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+schema_version: 5
+system:
+  name: Wav2Vec2-Large-AntiDeepfake-NDA
+  slug: wav2vec2-large-antideepfake-nda
+  description: AntiDeepfake detector (wav2vec 2.0 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/Wav2Vec2-Large-AntiDeepfake-NDA/blob/7fb0670cf37d3b4751edb6a38ac142d556e23ae3/model.safetensors
+  params_millions: 317.3926
+  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/EmoSpoofTTS
+  revision: 0ee6c4dce76737c77ed64fdf9e01039af1648f33
+  split: test
+scores:
+  srr_complement: 8.272222222222226
+  n_trials: 36000
+  n_skipped: 0
+calibration:
+  source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
+  threshold: 3.201128305762712
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Wav2Vec2-Large-AntiDeepfake-NDA/resolve/3ace576e13eee0f730e5f2c705e600d559821fca/.eval_results/SpeechAntiSpoofingBenchmarks/EmoSpoofTTS/scores.txt
+  scores_sha256: 0979600216c54aea1d03d169d3711b9670aca5a99eaa9447c3ea9ee4bd347b6b
+  bench_version: speech-spoof-bench==0.4.1
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-25'
+  reproduced_bench_version: speech-spoof-bench==0.4.1
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-25'
+notes: Wav2Vec2-Large-AntiDeepfake-NDA on EmoSpoofTTS (spoof-only emotional-TTS attack
+  corpus, srr_complement = 1-SRR, lower better). Scored 36,000 of 36,000 clips (n_skipped
+  0); audio embedded in the parquet, scored via the standard runner. score = higher
+  means bona fide. t* = this model's own DeepVoice EER operating-point threshold (DeepVoice
+  EER 8.23%), transferred via the calibration block. Verified with reproduce --scoring.