Add aasist3 LRLspoof submission (srr_complement 2.96%)

submissions/aasist3.yaml

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+schema_version: 5
+system:
+  name: AASIST3
+  slug: aasist3
+  description: 'KAN-enhanced AASIST speech deepfake detector with a wav2vec 2.0 (XLS-R-53)
+    self-supervised front-end. SSL features are projected to 128-d through a Kolmogorov-Arnold
+    (KAN) bridge, processed by a RawNet2-style residual encoder and spectro-temporal
+    graph-attention layers, and classified by a four-branch inference head with a
+    KAN output layer. ASVspoof 2024 Challenge system; the published lab260/AASIST3
+    checkpoint (note: these weights differ from the paper results). FP32, preemphasis
+    (0.97), deterministic first-64600-sample window (no random crop). score = output
+    logit for class 1 (bona fide).'
+  code: https://github.com/mtuciru/AASIST3
+  checkpoint: https://huggingface.co/lab260/AASIST3
+  params_millions: 321.7495
+  paper:
+    arxiv_id: '2408.17352'
+    url: https://arxiv.org/abs/2408.17352
+    bibtex: "@inproceedings{borodin24_asvspoof,\n  title={AASIST3: KAN-enhanced AASIST\
+      \ speech deepfake detection using SSL features and additional regularization\
+      \ for the ASVspoof 2024 Challenge},\n  author={Borodin, Kirill and Kudryavtsev,\
+      \ Vasiliy and Korzh, Dmitrii and Efimenko, Alexey and Mkrtchian, Grach and Gorodnichev,\
+      \ Mikhail and Rogov, Oleg Y.},\n  booktitle={The Automatic Speaker Verification\
+      \ Spoofing Countermeasures Workshop (ASVspoof 2024)},\n  pages={48--55},\n \
+      \ year={2024},\n  doi={10.21437/ASVspoof.2024-8}\n}\n"
+dataset:
+  id: lab260/LRLspoof
+  revision: 5caf11349cf96aa198527cfb040cdba585cdd49e
+  split: test
+scores:
+  srr_complement: 2.9645697758496015
+  n_trials: 1304455
+  n_skipped: 286
+calibration:
+  source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
+  threshold: -1.8146497482485875
+artifact:
+  scores_url: https://huggingface.co/lab260/AASIST3/resolve/a04c60989566f76836ef602ce4876fb0e22c2c77/.eval_results/lab260/LRLspoof/scores.txt
+  scores_sha256: 1e15d9ba9d7ac19d3507279303a22ab31017f7e886df0ae8b007b270f3b21fab
+  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: AASIST3 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 35.91%), transferred via the calibration block. Verified with reproduce --scoring.