Add aasist LRLspoof submission (srr_complement 30.83%)

submissions/aasist.yaml

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+schema_version: 5
+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: lab260/LRLspoof
+  revision: 5caf11349cf96aa198527cfb040cdba585cdd49e
+  split: test
+scores:
+  srr_complement: 30.831740364937367
+  n_trials: 1304455
+  n_skipped: 286
+calibration:
+  source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
+  threshold: -0.22863294108280266
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AASIST/resolve/d8710351dfd8b6b6beac940a229dcc1f248ae29b/.eval_results/lab260/LRLspoof/scores.txt
+  scores_sha256: b1fe60d799bea18829ca3d0333bd243e7e8139e35f054ae17631e4dc5d41860a
+  bench_version: speech-spoof-bench==0.4.1
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-22'
+  reproduced_bench_version: speech-spoof-bench==0.4.1
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-22'
+notes: AASIST on LRLspoof (spoof-only, srr_complement = 1-SRR, lower better). TensorRT
+  FP32 engine (parity-verified vs PyTorch). Scored 1,304,455 of 1,304,455 TTS utterances;
+  286 source files are empty/zero-length (skipped), 172 corrupt-header WAVs recovered
+  via ffmpeg. Audio resampled per-file to 16 kHz; score = net(x)[:,1] (higher = bona
+  fide). t* = this model's own DeepVoice EER operating-point threshold (DeepVoice
+  EER 46.02%), transferred via the calibration block. Verified with reproduce --scoring.