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/PyAra
  revision: 43f03384ee9ad701a64e0baaa531c8aedd724cd8
  split: test
scores:
  eer_percent: 15.761925192090176
  n_trials: 201778
  n_skipped: 0
artifact:
  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/resolve/f2e4b0b2320df6106b5c2ddcc4cd0cd746c97e29/.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/scores.txt
  scores_sha256: 986166ed6d4d2b5a8b649c60003d8abd71d8e6e70b6fad23a947e7be1ab18888
  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.