Datasets:
Add xlsr-sls LRLspoof submission (srr_complement 19.68%)
Browse files- submissions/xlsr-sls.yaml +53 -0
submissions/xlsr-sls.yaml
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schema_version: 5
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system:
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name: XLSR-SLS
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slug: xlsr-sls
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description: wav2vec 2.0 (XLS-R 300M) self-supervised front-end with the SLS (Sensitive
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Layer Selection) classifier for audio deepfake detection. SLS gates and fuses
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the hidden states of all XLS-R transformer layers — each layer contributing distinct
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discriminative cues — via a per-layer sigmoid attention, sums the weighted multi-layer
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feature, then a BN + max-pool + two-layer MLP head emits a 2-way log-softmax.
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Official QiShanZhang/SLSforASVspoof-2021-DF checkpoint (model_15, dev-EER 1.45%),
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trained on ASVspoof2019 LA, FP32, deterministic first-64600-sample window (no
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random crop).
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code: https://github.com/QiShanZhang/SLSforASVspoof-2021-DF
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checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/XLSR-SLS
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params_millions: 340.79
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paper:
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arxiv_id: 10.1145/3664647.3681345
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url: https://doi.org/10.1145/3664647.3681345
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bibtex: "@inproceedings{zhang2024audio,\n title={Audio Deepfake Detection with\
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\ Self-Supervised XLS-R and SLS Classifier},\n author={Zhang, Qishan and Wen,\
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\ Shuangbing and Hu, Tao},\n booktitle={Proceedings of the 32nd ACM International\
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\ Conference on Multimedia},\n pages={6765--6773},\n year={2024},\n doi={10.1145/3664647.3681345}\n\
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}\n"
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dataset:
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id: lab260/LRLspoof
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revision: 5caf11349cf96aa198527cfb040cdba585cdd49e
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split: test
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scores:
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srr_complement: 19.675210804734668
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n_trials: 1304455
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n_skipped: 286
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calibration:
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source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
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threshold: -4.67828299044586
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artifact:
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scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/XLSR-SLS/resolve/f67c691393171b9916d2e44c00c987bd13afebd1/.eval_results/lab260/LRLspoof/scores.txt
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scores_sha256: c0b68dead9f8a31054100608c8f9763855cb2b433532c0ed60c7d9f008649304
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bench_version: speech-spoof-bench==0.4.1
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reproduction:
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reproduced_by: SpeechAntiSpoofingBenchmarks
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reproduced_at: '2026-06-22'
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reproduced_bench_version: speech-spoof-bench==0.4.1
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match: scoring
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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: '2026-06-22'
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notes: XLSR-SLS on LRLspoof (spoof-only, srr_complement = 1-SRR, lower better). TensorRT
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FP32 engine (parity-verified vs PyTorch). Scored 1,304,169 of 1,304,455 TTS utterances;
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286 source files are empty/zero-length (skipped), 172 corrupt-header WAVs recovered
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via ffmpeg. Audio resampled per-file to 16 kHz; score = net(x)[:,1] (higher = bona
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fide). t* = this model's own DeepVoice EER operating-point threshold (DeepVoice
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EER 27.07%), transferred via the calibration block. Verified with reproduce --scoring.
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