Add RawTFNet scores for ODSS

submissions/ODSS/rawtfnet.yaml

@@ -0,0 +1,34 @@
+schema_version: 4
+system:
+  name: RawTFNet
+  slug: rawtfnet
+  description: 'Lightweight raw-waveform CNN for speech anti-spoofing: sinc-convolution front-end, depthwise-separable Res2Net-SE
+    conv blocks, and a Tf-SepNet (time-frequency separable) classifier (depth=10, width=32). ASVspoof2019 LA pretrained, FP32,
+    deterministic first-64600-sample window (no random crop).'
+  code: https://github.com/swagshaw/RawTFNet-Pytorch
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/blob/aa12f0fe2f10cc5278c954175a12c18cc43e3113/Best_RawTFNet_32.pth
+  params_millions: 0.17754
+  paper:
+    arxiv_id: '2507.08227'
+    url: https://arxiv.org/abs/2507.08227
+    bibtex: "@article{xiao2025rawtfnet,\n  title={RawTFNet: A Lightweight CNN Architecture for Speech Anti-spoofing},\n  author={Xiao,\
+      \ Yang and Dang, Ting and Das, Rohan Kumar},\n  journal={arXiv preprint arXiv:2507.08227},\n  year={2025}\n}\n"
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/ODSS
+  revision: a9a7dfb3e2cd3a4df8a08ba3f3705ed36db193d7
+  split: test
+scores:
+  eer_percent: 52.58779550360659
+  n_trials: 26954
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/resolve/b71ce6585d3248e20ced6a86bb906b788a0601ba/.eval_results/SpeechAntiSpoofingBenchmarks/ODSS/scores.txt
+  scores_sha256: 6051d32ca752a99f4b9f636a0b85d4fca46cd355cb47301e47b38609f6d0d980
+  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: Deterministic first-64600-sample window (no random crop). Full RawTFNet (width=32), Best_RawTFNet_32.pth.
+# redispatch

submissions/rawtfnet.yaml

@@ -0,0 +1,37 @@
+schema_version: 4
+system:
+  name: RawTFNet
+  slug: rawtfnet
+  description: 'Lightweight raw-waveform CNN for speech anti-spoofing: sinc-convolution front-end, depthwise-separable Res2Net-SE
+    conv blocks, and a Tf-SepNet (time-frequency separable) classifier (depth=10, width=32). ASVspoof2019 LA pretrained, FP32,
+    deterministic first-64600-sample window (no random crop).'
+  code: https://github.com/swagshaw/RawTFNet-Pytorch
+  checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/blob/aa12f0fe2f10cc5278c954175a12c18cc43e3113/Best_RawTFNet_32.pth
+  params_millions: 0.17754
+  paper:
+    arxiv_id: '2507.08227'
+    url: https://arxiv.org/abs/2507.08227
+    bibtex: "@article{xiao2025rawtfnet,\n  title={RawTFNet: A Lightweight CNN Architecture for Speech Anti-spoofing},\n  author={Xiao,\
+      \ Yang and Dang, Ting and Das, Rohan Kumar},\n  journal={arXiv preprint arXiv:2507.08227},\n  year={2025}\n}\n"
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/ODSS
+  revision: a9a7dfb3e2cd3a4df8a08ba3f3705ed36db193d7
+  split: test
+scores:
+  eer_percent: 52.58779550360659
+  n_trials: 26954
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/resolve/b71ce6585d3248e20ced6a86bb906b788a0601ba/.eval_results/SpeechAntiSpoofingBenchmarks/ODSS/scores.txt
+  scores_sha256: 6051d32ca752a99f4b9f636a0b85d4fca46cd355cb47301e47b38609f6d0d980
+  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: Deterministic first-64600-sample window (no random crop). Full RawTFNet (width=32), Best_RawTFNet_32.pth.