Datasets:
Add RawBMamba submission for DFADD (EER=17.333333333333336)
Browse files- submissions/rawbmamba.yaml +38 -0
submissions/rawbmamba.yaml
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schema_version: 4
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system:
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name: RawBMamba
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slug: rawbmamba
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description: 'RawBMamba: end-to-end bidirectional state-space (Mamba) model for audio deepfake detection. Sinc/Res front-end
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+ bidirectional Mamba blocks with attention pooling and an angular-margin (A-softmax) head. Raw-waveform, FP32, deterministic
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first-64600-sample (4 s) window. Higher score = more bona fide.
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'
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code: https://github.com/cyjie429/RawBMamba
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checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawBMamba/blob/main/rawbmamba_best.pt
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params_millions: 0.7202
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paper:
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arxiv_id: '2406.06086'
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url: https://arxiv.org/abs/2406.06086
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bibtex: "@inproceedings{chen2024rawbmamba,\n title = {RawBMamba: End-to-End Bidirectional State Space Model for Audio\
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\ Deepfake Detection},\n author = {Chen, Yujie and Yi, Jiangyan and Xue, Jianhua and Wang, Chenglong and Zhang,\
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\ Xiaohui and Dong, Shunbo and Zeng, Siding and Tao, Jianhua and Zhao, Lv and Wang, Cunhang},\n booktitle = {Interspeech\
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\ 2024},\n year = {2024}\n}\n"
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dataset:
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id: SpeechAntiSpoofingBenchmarks/DFADD
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revision: c578c836da3b522b27d3dd85f89309f1737e5d31
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split: test
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scores:
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eer_percent: 17.333333333333336
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n_trials: 3755
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n_skipped: 0
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artifact:
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scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/RawBMamba/resolve/80f96296c04930f66dc69ce42f18320685afa498/.eval_results/SpeechAntiSpoofingBenchmarks/DFADD/scores.txt
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scores_sha256: b95d931dee239f6e69adf2cd343ba7e5927f9642bd5c262826a6c3161559db5e
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bench_version: speech-spoof-bench==0.4.1
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reproduction: {}
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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: '2026-06-26'
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notes: Pretrained rawbmamba_best.pt. Mamba selective-scan run on the pure-PyTorch reference path (CUDA kernels optional).
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Deterministic first-64600-sample window.
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