Add M1 submission

#3
by mbocanu - opened
Files changed (1) hide show
  1. submissions/m1.yaml +40 -0
submissions/m1.yaml ADDED
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+ 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 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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+ id: lab260/LRLspoof
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+ revision: ac76f0e5472fdb68a6726e1fa94a148316e76916
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+ split: test
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+ scores:
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+ srr_complement: 0.4309835781452942
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+ n_trials: 1304455
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+ n_skipped: 461
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+ calibration:
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+ source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
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+ threshold: 2.0103254378980897
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+ artifact:
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+ scores_url: https://huggingface.co/mbocanu/m1/resolve/7b17027a944370cf784daf891b621bc5285e199f/.eval_results/lab260/LRLspoof/scores.txt
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+ scores_sha256: 42c7b95a739b9565ef4a8cd8629e6773fb534474077c8bfa426e0eb342cec08c
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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: '2026-10-28'
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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.