Datasets:
Add AMSDF submission for LRLspoof (1-SRR=38.9599)
#6
by korallll - opened
- submissions/amsdf.yaml +46 -0
submissions/amsdf.yaml
ADDED
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schema_version: 4
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system:
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name: AMSDF
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slug: amsdf
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description: 'AMSDF (Audio Multi-view Spoofing Detection Framework): captures intra- and inter-view
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spoofing cues from audio-emotion-text correlations. XLS-R (wav2vec2-xls-r-300m) text view + ACRNN
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emotion view (logfbank+delta+delta2) + raw-audio graph view, fused by heterogeneous graph attention.
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Raw-waveform (+ derived emotion spectrogram), FP32, first-64600-sample (4 s) window. Checkpoint M1
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(best-EER seed). Higher score = more bona fide.'
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code: https://github.com/ItzJuny/AMSDF
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checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AMSDF/blob/main/M1.pth
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params_millions: 325.4
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paper:
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arxiv_id: 10.1109/TIFS.2024.3431888
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url: https://ieeexplore.ieee.org/document/10605761
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bibtex: "@article{wu2024audio,\n author = {Wu, Junyan and Yin, Qilin and Sheng, Ziqi and Lu, Wei\
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\ and Huang, Jiwu and Li, Bin},\n journal = {IEEE Transactions on Information Forensics and Security},\n\
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\ title = {Audio Multi-view Spoofing Detection Framework Based on Audio-Text-Emotion Correlations},\n\
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\ year = {2024},\n volume = {19},\n pages = {7133--7146},\n doi = {10.1109/TIFS.2024.3431888}\n\
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}\n"
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dataset:
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id: lab260/LRLspoof
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revision: ac76f0e5472fdb68a6726e1fa94a148316e76916
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split: test
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scores:
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srr_complement: 38.95990473627268
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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: -3.4811870045197737
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artifact:
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scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/AMSDF/resolve/3a3270291fbd0dc1bd9388e30553468bf8baeae4/.eval_results/lab260/LRLspoof/scores.txt
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scores_sha256: 9c2a5c5e9b46be40df60dbae7374b8be27244d1dae05bb504216f824a2131ac8
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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: '2026-10-29'
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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: '2026-10-29'
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notes: AMSDF M1 checkpoint (best-EER seed). Multi-view XLS-R + ACRNN emotion + graph fusion. Score = P(real)-P(fake).
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First-64600-sample window.
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