Add AASIST scores for ODSS

submissions/ODSS/aasist.yaml

@@ -0,0 +1,39 @@
+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/ODSS
+  revision: a9a7dfb3e2cd3a4df8a08ba3f3705ed36db193d7
+  split: test
+scores:
+  eer_percent: 50.41331016690359
+  n_trials: 26954
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST/resolve/d9c9d8b6ae6a638dab7c799f01c8044ab2ebbc2a/.eval_results/SpeechAntiSpoofingBenchmarks/ODSS/scores.txt
+  scores_sha256: ec4febc2cf2c57ae1609292e353ebc6719aeff13700256c8c1833f0c1352c809
+  bench_version: speech-spoof-bench==0.3.4
+reproduction: {}
+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).
+# redispatch

submissions/aasist.yaml

@@ -0,0 +1,42 @@
+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/ODSS
+  revision: a9a7dfb3e2cd3a4df8a08ba3f3705ed36db193d7
+  split: test
+scores:
+  eer_percent: 50.41331016690359
+  n_trials: 26954
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST/resolve/d9c9d8b6ae6a638dab7c799f01c8044ab2ebbc2a/.eval_results/SpeechAntiSpoofingBenchmarks/ODSS/scores.txt
+  scores_sha256: ec4febc2cf2c57ae1609292e353ebc6719aeff13700256c8c1833f0c1352c809
+  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).