Datasets:
Add Res2TCNGuard submission (EER 56.10%, scoring-reproduced)
#4
by korallll - opened
Cross-dataset: trained on ASVspoof2019 LA, evaluated on CD-ADD (modern neural-TTS deepfakes). EER 56.10% over 20786 trials (worse than random; does not generalize to this domain). Reproduction block filled (sha256 + EER Delta=0 against pinned revision).
speech-spoof-bench ci verify-pr β β all checks passed
| Submission | Schema | sha256 | EER match | Notes |
|---|---|---|---|---|
submissions/res2tcnguard.yaml |
β | β | β | ok |
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korallll changed pull request status to merged
speech-spoof-bench β submission merged β
System res2tcnguard is now live on the Arena.
To display a backlink badge on your model page, take the two steps below.
1. Add result.yaml to your model repo
schema_version: 1
system:
name: Res2TCNGuard
slug: res2tcnguard
paper:
arxiv_id: 10.48084/etasr.8906
dataset:
id: SpeechAntiSpoofingBenchmarks/CD-ADD
revision: c2de87d49b268b624e6af7440dc2890703098965
split: test
scores:
eer_percent: 56.0992700729927
n_trials: 20786
n_skipped: 0
arena:
url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard
artifact:
scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Res2TCNGuard/resolve/44f5a8347036114f1a4b1b7808d925e5cd0b37ce/.eval_results/SpeechAntiSpoofingBenchmarks/CD-ADD/scores.txt
Upload it with:
huggingface-cli upload <your-model-repo> result.yaml \
.eval_results/SpeechAntiSpoofingBenchmarks/CD-ADD/result.yaml
2. Add the badge lines to your README
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard)
sha=79eaff750a3f465510b69957b61ec5a11d921ebf path=submissions/res2tcnguard.yaml
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