Datasets:
Upload submissions/rawtfnet.yaml with huggingface_hub (#8)
Browse files- Upload submissions/rawtfnet.yaml with huggingface_hub (cd8edf4149fa19f7f040daa8555f58fbdb8616d3)
- Fill reproduction block (scoring) for merge (fa14ca83296a03aa24c9dd9fa1e16a4e13ed625f)
- submissions/rawtfnet.yaml +40 -0
submissions/rawtfnet.yaml
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schema_version: 4
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system:
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name: RawTFNet
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slug: rawtfnet
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description: 'Lightweight raw-waveform CNN for speech anti-spoofing: sinc-convolution
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front-end, depthwise-separable Res2Net-SE conv blocks, and a Tf-SepNet (time-frequency
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separable) classifier (depth=10, width=32). ASVspoof2019 LA pretrained, FP32,
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deterministic first-64600-sample window (no random crop).'
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code: https://github.com/swagshaw/RawTFNet-Pytorch
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checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/blob/aa12f0fe2f10cc5278c954175a12c18cc43e3113/Best_RawTFNet_32.pth
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params_millions: 0.17754
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paper:
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arxiv_id: '2507.08227'
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url: https://arxiv.org/abs/2507.08227
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bibtex: "@article{xiao2025rawtfnet,\n title={RawTFNet: A Lightweight CNN Architecture\
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\ for Speech Anti-spoofing},\n author={Xiao, Yang and Dang, Ting and Das, Rohan\
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\ Kumar},\n journal={arXiv preprint arXiv:2507.08227},\n year={2025}\n}\n"
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dataset:
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id: SpeechAntiSpoofingBenchmarks/CFAD
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revision: 53d7855c1c378524f7b7b1030bcb6b2caa327fe6
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split: test
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scores:
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eer_percent: 36.6207914662603
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n_trials: 62999
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n_skipped: 0
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artifact:
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scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawTFNet/resolve/327c3c490b8c2cf00553a45aedd45fcebd66a0e8/.eval_results/SpeechAntiSpoofingBenchmarks/CFAD/scores.txt
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scores_sha256: 10bfc5f44cf2728e54d87f630c0b727a3617ee18303dfb6aebec187d04c7be7d
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bench_version: speech-spoof-bench==0.3.4
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submitter:
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hf_username: korallll
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contact: k.n.borodin@mtuci.ru
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submitted_at: '2026-06-08'
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notes: Deterministic first-64600-sample window (no random crop). Full RawTFNet (width=32),
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Best_RawTFNet_32.pth.
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reproduction:
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reproduced_by: SpeechAntiSpoofingBenchmarks
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reproduced_at: '2026-06-08'
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reproduced_bench_version: speech-spoof-bench==0.3.4
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match: scoring
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