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Fill reproduction block (match: scoring)

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  1. submissions/m1.yaml +15 -12
submissions/m1.yaml CHANGED
@@ -2,14 +2,13 @@ schema_version: 4
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  system:
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  name: M1
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  slug: m1
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- description: 'M1, a voice deepfake detector (proprietary; weights not released; no paper). To keep the
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- comparison fair, we screened our training data against every Arena test set and removed every Arena
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- test clip, and every other copy of the same recording, from training (matched by source utterance).
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- Where a set''s recording map was not available (ASVspoof 2021 LA and DF), we removed every recording
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- of its evaluation speakers instead. We scored two training lengths of the same model, and we submit
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- the one that our own validation set preferred. Scoring: one window per clip from its first sample
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- (0.2–4.2 s for clips of 4.4 s or more, 0.2–2.2 s for 2.4–4.4 s, the whole clip if shorter; no padding
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- or repetition). Higher score = bona fide.'
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  code: https://huggingface.co/mbocanu/m1
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  checkpoint: https://huggingface.co/mbocanu/m1
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  dataset:
@@ -24,11 +23,15 @@ artifact:
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  scores_url: https://huggingface.co/mbocanu/m1/resolve/7b17027a944370cf784daf891b621bc5285e199f/.eval_results/SpeechAntiSpoofingBenchmarks/CVoiceFake_small/scores.txt
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  scores_sha256: 6d380d84b714304225531dec2233ddbfe2aff2c42bc0a93e99e803c8a45bed11
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  bench_version: speech-spoof-bench==0.4.1
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- reproduction: {}
 
 
 
 
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  submitter:
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  hf_username: mbocanu
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  contact: imbocanu@gmail.com
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  submitted_at: '2026-10-27'
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- notes: Submitted on 23 of the 24 sets. We do not submit CFAD. CFAD labels its partially fake clips (real
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- recordings with a replaced segment) as fake at clip level. Our product scores speech segment by segment,
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- and we do not think one clip label is the right test for mixed clips.
 
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  system:
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  name: M1
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  slug: m1
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+ description: 'M1, a voice deepfake detector (proprietary; weights not released; no paper). To keep the comparison fair,
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+ we screened our training data against every Arena test set and removed every Arena test clip, and every other copy of
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+ the same recording, from training (matched by source utterance). Where a set''s recording map was not available (ASVspoof
8
+ 2021 LA and DF), we removed every recording of its evaluation speakers instead. We scored two training lengths of the
9
+ same model, and we submit the one that our own validation set preferred. Scoring: one window per clip from its first sample
10
+ (0.2–4.2 s for clips of 4.4 s or more, 0.2–2.2 s for 2.4–4.4 s, the whole clip if shorter; no padding or repetition).
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+ Higher score = bona fide.'
 
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  code: https://huggingface.co/mbocanu/m1
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  checkpoint: https://huggingface.co/mbocanu/m1
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  dataset:
 
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  scores_url: https://huggingface.co/mbocanu/m1/resolve/7b17027a944370cf784daf891b621bc5285e199f/.eval_results/SpeechAntiSpoofingBenchmarks/CVoiceFake_small/scores.txt
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  scores_sha256: 6d380d84b714304225531dec2233ddbfe2aff2c42bc0a93e99e803c8a45bed11
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  bench_version: speech-spoof-bench==0.4.1
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+ reproduction:
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+ reproduced_by: SpeechAntiSpoofingBenchmarks
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+ reproduced_at: '2026-10-27'
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+ reproduced_bench_version: speech-spoof-bench==0.4.1
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+ match: scoring
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  submitter:
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  hf_username: mbocanu
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  contact: imbocanu@gmail.com
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  submitted_at: '2026-10-27'
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+ notes: Submitted on 23 of the 24 sets. We do not submit CFAD. CFAD labels its partially fake clips (real recordings with a
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+ replaced segment) as fake at clip level. Our product scores speech segment by segment, and we do not think one clip label
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+ is the right test for mixed clips.