Add rawtfnet EmoSpoofTTS submission (srr_complement 76.57%)

submissions/rawtfnet.yaml

@@ -0,0 +1,46 @@
+schema_version: 5
+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/EmoSpoofTTS
+  revision: 0ee6c4dce76737c77ed64fdf9e01039af1648f33
+  split: test
+scores:
+  srr_complement: 76.56944444444444
+  n_trials: 36000
+  n_skipped: 0
+calibration:
+  source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
+  threshold: -4.345712135350318
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/resolve/0b7a1bb07ca6c6719ec9bcdcd611080525530910/.eval_results/SpeechAntiSpoofingBenchmarks/EmoSpoofTTS/scores.txt
+  scores_sha256: 4ba651a30d7cb380b229dc406b2022ee00a287a6797ee9d0ff12bf4df8a047e5
+  bench_version: speech-spoof-bench==0.4.1
+reproduction:
+  reproduced_by: SpeechAntiSpoofingBenchmarks
+  reproduced_at: '2026-06-25'
+  reproduced_bench_version: speech-spoof-bench==0.4.1
+  match: scoring
+submitter:
+  hf_username: korallll
+  contact: k.n.borodin@mtuci.ru
+submitted_at: '2026-06-25'
+notes: RawTFNet on EmoSpoofTTS (spoof-only emotional-TTS attack corpus, srr_complement
+  = 1-SRR, lower better). Scored 36,000 of 36,000 clips (n_skipped 0); audio embedded
+  in the parquet, scored via the standard runner. score = higher means bona fide.
+  t* = this model's own DeepVoice EER operating-point threshold (DeepVoice EER 50.16%),
+  transferred via the calibration block. Verified with reproduce --scoring.