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/DECRO revision: e54c29df5b81bac75e5cc294d1ab0d4db72a5c71 split: test scores: eer_percent: 50.273643783005284 n_trials: 37314 n_skipped: 0 artifact: scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/random-baseline-asas/resolve/fe26963d7aa7bc5f66ab00af83f430d1c7e72c97/.eval_results/SpeechAntiSpoofingBenchmarks/DECRO/scores.txt scores_sha256: 08658bab730f150edd96528716b3bdb416a55822dbe1c46caec4ef7cc9001189 bench_version: speech-spoof-bench==0.3.4 reproduction: reproduced_by: SpeechAntiSpoofingBenchmarks reproduced_at: 2026-06-09 reproduced_bench_version: speech-spoof-bench==0.3.4 match: scoring submitter: hf_username: SpeechAntiSpoofingBenchmarks contact: k.n.borodin@mtuci.ru submitted_at: 2026-06-08 notes: > Random baseline has no associated paper of its own. The paper field cites the ASVspoof 2019 dataset paper as a placeholder, consistent with the other random-baseline submissions (same system slug). Reproduction stamped by the maintainer at merge (reproduce --scoring, Δ EER 0.0 vs claimed). Seeding submission for the newly added DECRO Core dataset.