Datasets:
submissions: add aasist (#13)
Browse files- submissions: add aasist (97c7dfcd16e9f9bc8546488dc4ef1e3037f577d5)
- re-dispatch verify-pr (ac3d3c1a5b3239ac3cf0c4f40f8dec6349f261f6)
- fill reproduction (match: scoring) for aasist (e369a3e635c6a7153c6dc27d687728607f9ba5af)
- submissions/aasist.yaml +50 -0
submissions/aasist.yaml
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schema_version: 4
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system:
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name: AASIST
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slug: aasist
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description: 'AASIST: audio anti-spoofing using integrated spectro-temporal graph
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attention networks. Sinc-convolution front-end, RawNet2-style residual encoder,
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and heterogeneous stacking graph attention over spectral and temporal sub-graphs
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with a learnable readout. Official clovaai/aasist ASVspoof2019 LA pretrained checkpoint,
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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/clovaai/aasist
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checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST/blob/e842653505c2832ac9f46bbf56173b0f54ef82a7/AASIST.pth
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paper:
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arxiv_id: '2110.01200'
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url: https://arxiv.org/abs/2110.01200
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bibtex: "@inproceedings{jung2022aasist,\n title={{AASIST}: Audio Anti-Spoofing\
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\ Using Integrated Spectro-Temporal Graph Attention Networks},\n author={Jung,\
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\ Jee-weon and Heo, Hee-Soo and Tak, Hemlata and Shim, Hye-jin and Chung, Joon\
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\ Son and Lee, Bong-Jin and Yu, Ha-Jin and Evans, Nicholas},\n booktitle={ICASSP\
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\ 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal\
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\ Processing (ICASSP)},\n pages={6367--6371},\n year={2022},\n organization={IEEE}\n\
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}\n"
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params_millions: 0.297866
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dataset:
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id: SpeechAntiSpoofingBenchmarks/CFAD
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revision: ba9029a17ab980bb2a5b0a92c42ca17957a08b8b
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split: test
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scores:
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eer_percent: 46.10695747416544
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n_trials: 62999
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n_skipped: 0
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artifact:
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scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST/resolve/90cfcffe4c5ced13482e5d05b183e5d21ae3d1e9/.eval_results/SpeechAntiSpoofingBenchmarks/CFAD/scores.txt
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scores_sha256: aed7341a4d65e8f9cf9e28039ca02776cac7cecf48d474d027fb8cea6b396f37
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bench_version: speech-spoof-bench==0.3.4
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reproduction:
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reproduced_by: SpeechAntiSpoofingBenchmarks
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reproduced_at: '2026-06-09'
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reproduced_bench_version: speech-spoof-bench==0.3.4
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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: '2026-06-09'
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notes: 'Official AASIST variant only (not AASIST-L). Deterministic first-64600-sample
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window (no random crop), matching clovaai/aasist data_utils.pad() used at eval.
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Checkpoint mirrored to SpeechAntiSpoofingBenchmarks/AASIST (pinned).
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'
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