Datasets:
Add AASIST scores for HABLA
#11
by korallll - opened
- submissions/aasist.yaml +42 -0
submissions/aasist.yaml
ADDED
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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 attention networks. Sinc-convolution front-end,
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RawNet2-style residual encoder, and heterogeneous stacking graph attention over spectral and temporal sub-graphs with
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a learnable readout. Official clovaai/aasist ASVspoof2019 LA pretrained checkpoint, FP32, deterministic first-64600-sample
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window (no random crop).'
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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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params_millions: 0.297866
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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 Using Integrated Spectro-Temporal Graph\
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\ Attention Networks},\n author={Jung, 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 2022 - 2022 IEEE International Conference\
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\ on Acoustics, Speech and Signal Processing (ICASSP)},\n pages={6367--6371},\n year={2022},\n organization={IEEE}\n\
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}\n"
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dataset:
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id: SpeechAntiSpoofingBenchmarks/HABLA
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revision: 520797e46fdeb1f3a3765664a6a4e25b509c72f5
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split: test
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scores:
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eer_percent: 37.360344827586204
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n_trials: 80816
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n_skipped: 0
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artifact:
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scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST/resolve/d15220180535a3b61118153a521a1c5127c53b3f/.eval_results/SpeechAntiSpoofingBenchmarks/HABLA/scores.txt
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scores_sha256: fde027b756f0129887f2cfc1b531f14183a36a9e54904fe057b8ae58698e2a0e
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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: '2026-06-10'
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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: '2026-06-10'
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notes: Official AASIST variant only (not AASIST-L). Deterministic first-64600-sample window (no random crop), matching clovaai/aasist
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data_utils.pad() used at eval. Checkpoint mirrored to SpeechAntiSpoofingBenchmarks/AASIST (pinned).
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