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submissions/rawtfnet.yaml

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+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/CFAD
+  revision: 53d7855c1c378524f7b7b1030bcb6b2caa327fe6
+  split: test
+scores:
+  eer_percent: 36.6207914662603
+  n_trials: 62999
+  n_skipped: 0
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/resolve/327c3c490b8c2cf00553a45aedd45fcebd66a0e8/.eval_results/SpeechAntiSpoofingBenchmarks/CFAD/scores.txt
+  scores_sha256: 10bfc5f44cf2728e54d87f630c0b727a3617ee18303dfb6aebec187d04c7be7d
+  bench_version: speech-spoof-bench==0.3.4
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-08'
+notes: Deterministic first-64600-sample window (no random crop). Full RawTFNet (width=32),
+  Best_RawTFNet_32.pth.