Add RawTFNet submission (CD-ADD)

#8
Files changed (1) hide show
  1. submissions/rawtfnet.yaml +40 -0
submissions/rawtfnet.yaml ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ schema_version: 4
2
+ system:
3
+ name: RawTFNet
4
+ slug: rawtfnet
5
+ description: 'Lightweight raw-waveform CNN for speech anti-spoofing: sinc-convolution
6
+ front-end, depthwise-separable Res2Net-SE conv blocks, and a Tf-SepNet (time-frequency
7
+ separable) classifier (depth=10, width=32). ASVspoof2019 LA pretrained, FP32,
8
+ deterministic first-64600-sample window (no random crop).'
9
+ code: https://github.com/swagshaw/RawTFNet-Pytorch
10
+ checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/blob/aa12f0fe2f10cc5278c954175a12c18cc43e3113/Best_RawTFNet_32.pth
11
+ params_millions: 0.17754
12
+ paper:
13
+ arxiv_id: '2507.08227'
14
+ url: https://arxiv.org/abs/2507.08227
15
+ bibtex: "@article{xiao2025rawtfnet,\n title={RawTFNet: A Lightweight CNN Architecture\
16
+ \ for Speech Anti-spoofing},\n author={Xiao, Yang and Dang, Ting and Das, Rohan\
17
+ \ Kumar},\n journal={arXiv preprint arXiv:2507.08227},\n year={2025}\n}\n"
18
+ dataset:
19
+ id: SpeechAntiSpoofingBenchmarks/CD-ADD
20
+ revision: c2de87d49b268b624e6af7440dc2890703098965
21
+ split: test
22
+ scores:
23
+ eer_percent: 52.846715328467155
24
+ n_trials: 20786
25
+ n_skipped: 0
26
+ artifact:
27
+ scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/resolve/aa12f0fe2f10cc5278c954175a12c18cc43e3113/.eval_results/SpeechAntiSpoofingBenchmarks/CD-ADD/scores.txt
28
+ scores_sha256: 35ce7e4bb533599719aa5ecb119128224e020a413756840cb753b55da36859af
29
+ bench_version: speech-spoof-bench==0.3.0
30
+ reproduction:
31
+ reproduced_by: SpeechAntiSpoofingBenchmarks
32
+ reproduced_at: '2026-06-03'
33
+ reproduced_bench_version: speech-spoof-bench==0.3.0
34
+ match: scoring
35
+ submitter:
36
+ hf_username: korallll
37
+ contact: k.n.borodin@mtuci.ru
38
+ submitted_at: '2026-06-03'
39
+ notes: Deterministic first-64600-sample window (no random crop). Full RawTFNet (width=32),
40
+ Best_RawTFNet_32.pth.