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: 0.177540
  paper:
    arxiv_id: "2507.08227"
    url: "https://arxiv.org/abs/2507.08227"
    bibtex: |
      @article{xiao2025rawtfnet,
        title={RawTFNet: A Lightweight CNN Architecture for Speech Anti-spoofing},
        author={Xiao, Yang and Dang, Ting and Das, Rohan Kumar},
        journal={arXiv preprint arXiv:2507.08227},
        year={2025}
      }
notes: "Deterministic first-64600-sample window (no random crop). Full RawTFNet (width=32), Best_RawTFNet_32.pth."