Add CLAD submission for PyAra (EER=26.69985945722161)

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by korallll - opened
Files changed (1) hide show
  1. submissions/clad.yaml +40 -0
submissions/clad.yaml ADDED
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+ schema_version: 4
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+ system:
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+ name: CLAD
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+ slug: clad
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+ description: 'CLAD (Contrastive Learning-based Audio Deepfake detector): AASIST encoder trained with contrastive learning
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+ for robustness against manipulation attacks, plus a linear classifier over the 160-dim AASIST embedding. Raw-waveform,
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+ FP32, deterministic first-64600-sample (4 s) window (no random crop). Higher score = more bona fide.
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+
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+ '
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+ code: https://github.com/CLAD23/CLAD
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+ checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/CLAD/blob/main/CLAD_150_10_2310.pth.tar
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+ params_millions: 0.2982
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+ paper:
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+ arxiv_id: '2404.15854'
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+ url: https://arxiv.org/abs/2404.15854
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+ bibtex: "@article{wu2024clad,\n title = {CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive\
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+ \ Learning},\n author = {Wu, Haolin and Chen, Jing and Du, Ruiying and Wu, Cong and He, Kun and Shang, Xingcan and\
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+ \ Ren, Hao and Xu, Guowen},\n journal = {arXiv preprint arXiv:2404.15854},\n year = {2024}\n}\n"
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+ dataset:
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+ id: SpeechAntiSpoofingBenchmarks/PyAra
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+ revision: 40167badd6d8a289f02054761ee5411f49227b87
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+ split: test
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+ scores:
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+ eer_percent: 26.69985945722161
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+ n_trials: 201778
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+ n_skipped: 0
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+ artifact:
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+ scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/CLAD/resolve/06ad731aa9a6f6eded2a98a5ab53eb6040f74bb3/.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/scores.txt
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+ scores_sha256: 8801843a30d184dfb75d4158c846ae7512f954c1cab7c8aab62af787445769a3
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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: '2026-06-26'
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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: korallll
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+ contact: k.n.borodin@mtuci.ru
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+ submitted_at: '2026-06-26'
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+ notes: Pretrained CLAD model CLAD_150_10_2310.pth.tar (AASIST encoder, contrastive). Deterministic first-64600-sample window.