Seed random-baseline submission for PyAra (reproduction filled)

submissions/random-baseline.yaml

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+schema_version: 4
+
+system:
+  name: random-baseline
+  slug: random-baseline
+  description: >
+    Reference random baseline. Returns N(0, 1) for every utterance using a
+    fixed seed (seed=0). EER ≈ 50% by construction. Used as the seeded
+    smoke-test baseline for the arena (roadmap Phase 3).
+  code: https://github.com/SpeechAntiSpoofingBenchmarks/speech-spoof-bench
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/random-baseline-asas
+  params_millions: 1
+  paper:
+    arxiv_id: "1911.01601"
+    url: https://arxiv.org/abs/1911.01601
+    bibtex: |
+      @article{wang2020asvspoof,
+        title={ASVspoof 2019: A large-scale public database of synthesized,
+               converted and replayed speech},
+        author={Wang, Xin and Yamagishi, Junichi and Todisco, Massimiliano and
+                Delgado, H{\'e}ctor and Nautsch, Andreas and Evans, Nicholas
+                and Sahidullah, Md and Vestman, Ville and Kinnunen, Tomi and
+                Lee, Kong Aik and others},
+        journal={Computer Speech \& Language},
+        volume={64},
+        pages={101114},
+        year={2020},
+        publisher={Elsevier}
+      }
+
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/PyAra
+  revision: 40167badd6d8a289f02054761ee5411f49227b87
+  split: test
+
+scores:
+  eer_percent: 49.85934251117785
+  n_trials: 201778
+  n_skipped: 0
+
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/random-baseline-asas/resolve/2a2743fcf3f916ed080232f19196706accd1a543/.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/scores.txt
+  scores_sha256: d237bbf69110e7938f586d6653aaa4e45b2369a4f763aac5ed69e8cd7f118b57
+  bench_version: speech-spoof-bench==0.3.4
+
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: 2026-06-10
+  reproduced_bench_version: speech-spoof-bench==0.3.4
+  match: scoring
+
+submitter:
+  hf_username: SpeechAntiSpoofingBenchmarks
+  contact: k.n.borodin@mtuci.ru
+
+submitted_at: 2026-06-10
+
+notes: >
+  Seeded random baseline for the newly-added PyAra dataset (Russian audio
+  deepfake detection, https://www.kaggle.com/datasets/alep079/pyara;
+  CC BY-NC-SA 4.0). 201,778 trials: 73,583 bonafide / 128,195 spoof from 5
+  generation algorithms (alg_1..alg_5). Random baseline has no paper of its own;
+  the paper field cites the ASVspoof 2019 dataset paper as a placeholder, per the
+  Phase 3 convention and consistent with the other random-baseline submissions
+  (same system slug). Reproduction verified by the maintainer via
+  `reproduce --scoring` (scores_sha256 matched; Δ EER 0.0; 201778 trials / 0
+  skipped) at speech-spoof-bench==0.3.4.