Add AASIST-L submission

submissions/aasist-l.yaml

@@ -0,0 +1,45 @@
+schema_version: 4
+system:
+  name: AASIST-L
+  slug: aasist-l
+  description: 'AASIST-L: the lightweight variant of AASIST (audio anti-spoofing using integrated spectro-temporal
+    graph attention networks). Same architecture as AASIST — sinc-convolution front-end, RawNet2-style
+    residual encoder, and heterogeneous stacking graph attention over spectral and temporal sub-graphs
+    with a learnable readout — but with a narrower residual stack and graph dimensions (~85k params vs
+    AASIST''s ~298k). 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-L/blob/e4185b270ec20077c918e06a45093717a1bd5e30/AASIST-L.pth
+  params_millions: 0.085306
+  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/CD-ADD
+  revision: c2de87d49b268b624e6af7440dc2890703098965
+  split: test
+scores:
+  eer_percent: 50.715328467153284
+  n_trials: 20786
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST-L/resolve/e4185b270ec20077c918e06a45093717a1bd5e30/.eval_results/SpeechAntiSpoofingBenchmarks/CD-ADD/scores.txt
+  scores_sha256: f9d433b18c99ab537070ed077eae4ec5b715f7d077f7783f3376d72c12ce5122
+  bench_version: speech-spoof-bench==0.3.0
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-03'
+  reproduced_bench_version: speech-spoof-bench==0.3.0
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-03'
+notes: Out-of-domain; the 2019 LA checkpoint does not generalize well here.