Datasets:
Add W2V2-AASIST submission
Browse fileswav2vec2 XLS-R 300M + AASIST. EER from local run, scores pinned to model repo @75ec0a4. reproduce --scoring --no-local verified locally.
- submissions/w2v2-aasist.yaml +43 -0
submissions/w2v2-aasist.yaml
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schema_version: 4
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system:
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name: W2V2-AASIST
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slug: w2v2-aasist
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description: 'wav2vec 2.0 (XLS-R 300M) self-supervised front-end fine-tuned end-to-end
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with an AASIST spectro-temporal graph-attention back-end for speech anti-spoofing.
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The XLS-R features are projected to 128-d, max-pooled, and fed through a RawNet2-style
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residual encoder and heterogeneous stacking graph-attention layers. Official TakHemlata/SSL_Anti-spoofing
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LA checkpoint (LA_model.pth), trained on ASVspoof2019 LA with RawBoost augmentation,
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FP32, deterministic first-64600-sample window (no random crop).
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'
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code: https://github.com/TakHemlata/SSL_Anti-spoofing
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checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/W2V2-AASIST
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params_millions: 317.8378
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paper:
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arxiv_id: '2202.12233'
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url: https://arxiv.org/abs/2202.12233
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bibtex: "@inproceedings{tak2022automatic,\n title={Automatic speaker verification\
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\ spoofing and deepfake detection using wav2vec 2.0 and data augmentation},\n\
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\ author={Tak, Hemlata and Todisco, Massimiliano and Wang, Xin and Jung, Jee-weon\
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\ and Yamagishi, Junichi and Evans, Nicholas},\n booktitle={The Speaker and\
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\ Language Recognition Workshop (Odyssey 2022)},\n pages={112--119},\n year={2022}\n\
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}\n"
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dataset:
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id: SpeechAntiSpoofingBenchmarks/ASVspoof2021_LA
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revision: dc119733697c946fcd17fe7c1541d7f26b4bbe07
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split: test
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scores:
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eer_percent: 8.112941686538043
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n_trials: 181566
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n_skipped: 0
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artifact:
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scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/W2V2-AASIST/resolve/75ec0a4aa6491cee7748c12996a87561d1b02fb7/.eval_results/SpeechAntiSpoofingBenchmarks/ASVspoof2021_LA/scores.txt
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scores_sha256: 29a22a3d568225ff6fa31d2637de0c68a72bd8cac2105f9049a7f3b60b470096
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bench_version: speech-spoof-bench==0.3.3
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reproduction: {}
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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: '2026-06-04'
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notes: XLS-R 300M (wav2vec 2.0) front-end + AASIST back-end, LA_model.pth. Deterministic
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first-64600-sample window (no random crop).
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