Datasets:
Add WeDefense-WavLM-Base-Pruned submission for PyAra (EER=12.4794)
#56
by korallll - opened
No description provided.
speech-spoof-bench ci verify-pr — ✅ all checks passed
| Submission | Schema | sha256 | EER match | Notes |
|---|---|---|---|---|
submissions/wedefense-wavlm-base-pruned.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-wavlm-base-pruned 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-WavLM-Base-Pruned
slug: wedefense-wavlm-base-pruned
paper:
arxiv_id: '2508.16232'
dataset:
id: SpeechAntiSpoofingBenchmarks/PyAra
revision: 40167badd6d8a289f02054761ee5411f49227b87
split: test
scores:
eer_percent: 12.479425874644097
n_trials: 201778
n_skipped: 0
arena:
url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wedefense-wavlm-base-pruned
artifact:
scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/WeDefense-WavLM-Base-Pruned/resolve/6fc8fcf32f6c40b94464908bef6910f8cb740d58/.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-wavlm-base-pruned)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wedefense-wavlm-base-pruned)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wedefense-wavlm-base-pruned)
sha=6eabbb625ad9305ee59b0bb5e6dab5b2ba7f6c18 path=submissions/wedefense-wavlm-base-pruned.yaml