Add AASIST submission for DFADD

submissions/aasist.yaml

@@ -0,0 +1,43 @@
+schema_version: 4
+system:
+  name: AASIST
+  slug: aasist
+  description: 'AASIST: audio anti-spoofing using integrated spectro-temporal graph attention networks.
+    Sinc-convolution front-end, RawNet2-style residual encoder, and heterogeneous stacking graph attention
+    over spectral and temporal sub-graphs with a learnable readout. Official clovaai/aasist ASVspoof2019
+    LA pretrained checkpoint, FP32, deterministic first-64600-sample window (no random crop).'
+  code: https://github.com/clovaai/aasist
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST/blob/e842653505c2832ac9f46bbf56173b0f54ef82a7/AASIST.pth
+  params_millions: 0.297866
+  paper:
+    arxiv_id: '2110.01200'
+    url: https://arxiv.org/abs/2110.01200
+    bibtex: "@inproceedings{jung2022aasist,\n  title={{AASIST}: Audio Anti-Spoofing Using Integrated Spectro-Temporal\
+      \ Graph Attention Networks},\n  author={Jung, Jee-weon and Heo, Hee-Soo and Tak, Hemlata and Shim,\
+      \ Hye-jin and Chung, Joon Son and Lee, Bong-Jin and Yu, Ha-Jin and Evans, Nicholas},\n  booktitle={ICASSP\
+      \ 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},\n\
+      \  pages={6367--6371},\n  year={2022},\n  organization={IEEE}\n}\n"
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/DFADD
+  revision: da9ec704a3db3b6a93b3f459fedd80e34b8ccdfa
+  split: test
+scores:
+  eer_percent: 39.0
+  n_trials: 3755
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST/resolve/f5066b2bfedd698313590f0fb4effbe96a0d3599/.eval_results/SpeechAntiSpoofingBenchmarks/DFADD/scores.txt
+  scores_sha256: 6ce550c105cde603d9979ddc1add7aac0a370f35dc350cf73e8d08269a13c62b
+  bench_version: speech-spoof-bench==0.3.4
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-10'
+  reproduced_bench_version: speech-spoof-bench==0.3.4
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-10'
+notes: Official AASIST variant only (not AASIST-L). Deterministic first-64600-sample window (no random
+  crop), matching clovaai/aasist data_utils.pad() used at eval. Checkpoint mirrored to SpeechAntiSpoofingBenchmarks/AASIST
+  (pinned).