Add AMSDF submission for PyAra (EER=19.238139244118887)

submissions/amsdf.yaml

@@ -0,0 +1,43 @@
+schema_version: 4
+system:
+  name: AMSDF
+  slug: amsdf
+  description: 'AMSDF (Audio Multi-view Spoofing Detection Framework): captures intra- and inter-view spoofing cues from audio-emotion-text
+    correlations. XLS-R (wav2vec2-xls-r-300m) text view + ACRNN emotion view (logfbank+delta+delta2) + raw-audio graph view,
+    fused by heterogeneous graph attention. Raw-waveform (+ derived emotion spectrogram), FP32, first-64600-sample (4 s) window.
+    Checkpoint M1 (best-EER seed). Higher score = more bona fide.
+
+    '
+  code: https://github.com/ItzJuny/AMSDF
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AMSDF/blob/main/M1.pth
+  params_millions: 325.4
+  paper:
+    arxiv_id: 10.1109/TIFS.2024.3431888
+    url: https://ieeexplore.ieee.org/document/10605761
+    bibtex: "@article{wu2024audio,\n  author  = {Wu, Junyan and Yin, Qilin and Sheng, Ziqi and Lu, Wei and Huang, Jiwu and\
+      \ Li, Bin},\n  journal = {IEEE Transactions on Information Forensics and Security},\n  title   = {Audio Multi-view Spoofing\
+      \ Detection Framework Based on Audio-Text-Emotion Correlations},\n  year    = {2024},\n  volume  = {19},\n  pages  \
+      \ = {7133--7146},\n  doi     = {10.1109/TIFS.2024.3431888}\n}\n"
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/PyAra
+  revision: 40167badd6d8a289f02054761ee5411f49227b87
+  split: test
+scores:
+  eer_percent: 19.238139244118887
+  n_trials: 201778
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AMSDF/resolve/f7d5f44066140392ae6b73bbcaea6f81e99655ab/.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/scores.txt
+  scores_sha256: 4bd99ae83e6db8f9567d414fe830c3ad1d5eac8ec2844a7217558f8b0ead1e50
+  bench_version: speech-spoof-bench==0.4.1
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-26'
+  reproduced_bench_version: speech-spoof-bench==0.4.1
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-26'
+notes: AMSDF M1 checkpoint (best-EER seed). Multi-view XLS-R + ACRNN emotion + graph fusion. Score = P(real)-P(fake). First-64600-sample
+  window.