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.