Datasets:
Add WeDefense-W2V2-Large-MHFA submission for PyAra (EER=9.6049)
#59
by korallll - opened
No description provided.
speech-spoof-bench ci verify-pr — ✅ all checks passed
| Submission | Schema | sha256 | EER match | Notes |
|---|---|---|---|---|
submissions/wedefense-w2v2-large-mhfa.yaml |
✅ | ✅ | ✅ | ok |
verify-pr ✅ + maintainer self-check (reproduce --scoring) passed. Merging.
korallll changed pull request status to merged
speech-spoof-bench — submission merged ✅
System wedefense-w2v2-large-mhfa 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: WeDefense-W2V2-Large-MHFA
slug: wedefense-w2v2-large-mhfa
paper:
arxiv_id: '2601.15240'
dataset:
id: SpeechAntiSpoofingBenchmarks/PyAra
revision: 40167badd6d8a289f02054761ee5411f49227b87
split: test
scores:
eer_percent: 9.604898787004174
n_trials: 201778
n_skipped: 0
arena:
url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wedefense-w2v2-large-mhfa
artifact:
scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/WeDefense-W2V2-Large-MHFA/resolve/2ea036e3c690a9a456494612a07d650bff728cd9/.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/scores.txt
Upload it with:
huggingface-cli upload <your-model-repo> result.yaml \
.eval_results/SpeechAntiSpoofingBenchmarks/PyAra/result.yaml
2. Add the badge lines to your README
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wedefense-w2v2-large-mhfa)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wedefense-w2v2-large-mhfa)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wedefense-w2v2-large-mhfa)
sha=17739167923d5d41eced74538f48db3e41103896 path=submissions/wedefense-w2v2-large-mhfa.yaml