Datasets:
Fill reproduction block (match: scoring)
Browse files- submissions/m1.yaml +15 -12
submissions/m1.yaml
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@@ -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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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:
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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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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
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2021 LA and DF), we removed every recording of its evaluation speakers instead. We scored two training lengths of the
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same model, and we submit 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 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.
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