Add random-baseline submission (EER 49.56%)

#1

YAML Metadata Error:Invalid content in eval.yaml.

Check out the documentation for more information.

Show details
✖ Invalid option: expected one of "prompt_template"|"system_message"|"user_message"|"chain_of_thought"|"use_tools"|"generate"|"self_critique"|"multiple_choice" → at tasks[0].solvers[0].name ✖ Invalid option: expected one of "includes"|"match"|"pattern"|"answer"|"exact"|"f1"|"model_graded_qa"|"model_graded_fact"|"choice" → at tasks[0].scorers[0].name
Files changed (1) hide show
  1. submissions/random-baseline.yaml +64 -0
submissions/random-baseline.yaml ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ schema_version: 4
2
+
3
+ system:
4
+ name: random-baseline
5
+ slug: random-baseline
6
+ description: >
7
+ Reference random baseline. Returns N(0, 1) for every utterance using a
8
+ fixed seed (seed=0). EER ≈ 50% by construction. Used as the seeded
9
+ smoke-test baseline for the arena (roadmap Phase 3).
10
+ code: https://github.com/SpeechAntiSpoofingBenchmarks/speech-spoof-bench
11
+ checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/random-baseline-asas
12
+ params_millions: 1
13
+ paper:
14
+ arxiv_id: "1911.01601"
15
+ url: https://arxiv.org/abs/1911.01601
16
+ bibtex: |
17
+ @article{wang2020asvspoof,
18
+ title={ASVspoof 2019: A large-scale public database of synthesized,
19
+ converted and replayed speech},
20
+ author={Wang, Xin and Yamagishi, Junichi and Todisco, Massimiliano and
21
+ Delgado, H{\'e}ctor and Nautsch, Andreas and Evans, Nicholas
22
+ and Sahidullah, Md and Vestman, Ville and Kinnunen, Tomi and
23
+ Lee, Kong Aik and others},
24
+ journal={Computer Speech \& Language},
25
+ volume={64},
26
+ pages={101114},
27
+ year={2020},
28
+ publisher={Elsevier}
29
+ }
30
+
31
+ dataset:
32
+ id: SpeechAntiSpoofingBenchmarks/SONAR
33
+ revision: bf65a137339acbe91f4baa702b7638fcda69aca3
34
+ split: test
35
+
36
+ scores:
37
+ eer_percent: 49.56024626209323
38
+ n_trials: 4548
39
+ n_skipped: 0
40
+
41
+ artifact:
42
+ scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/random-baseline-asas/resolve/8af0ccc677cd89e67f6bdfd4514bc715137fc0dc/.eval_results/SpeechAntiSpoofingBenchmarks/SONAR/scores.txt
43
+ scores_sha256: 051cc20027b196b4b8a69986d7c17017dac5f0ee2c69138198ea6cd65f70dfe7
44
+ bench_version: speech-spoof-bench==0.3.4
45
+
46
+ reproduction:
47
+ reproduced_by: SpeechAntiSpoofingBenchmarks
48
+ reproduced_at: 2026-06-07
49
+ reproduced_bench_version: speech-spoof-bench==0.3.4
50
+ match: scoring
51
+
52
+ submitter:
53
+ hf_username: SpeechAntiSpoofingBenchmarks
54
+ contact: k.n.borodin@mtuci.ru
55
+
56
+ submitted_at: 2026-06-07
57
+
58
+ notes: >
59
+ Seeded random baseline for the newly-added SONAR dataset. Random baseline has
60
+ no associated paper of its own; the paper field cites the ASVspoof 2019 dataset
61
+ paper as a placeholder, consistent with the other random-baseline submissions
62
+ (same system slug). The reproduction block is left empty for the maintainer to
63
+ fill at merge. verify-pr only routes once SONAR is ingested (manifest PR merged
64
+ + re-ingest), so the verify/merge half waits on the maintainer.