PyAra / submissions /rawtfnet.yaml
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Add RawTFNet submission for PyAra (#7)
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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/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.