Datasets:
Add HuBERT-XL-AntiDeepfake submission for PyAra
#19
by korallll - opened
No description provided.
speech-spoof-bench ci verify-pr — ✅ all checks passed
| Submission | Schema | sha256 | EER match | Notes |
|---|---|---|---|---|
submissions/hubert-xl-antideepfake.yaml |
✅ | ✅ | ✅ | ok |
Verified ✅ (scoring). Merging HuBERT-XL-AntiDeepfake.
korallll changed pull request status to merged
speech-spoof-bench — submission merged ✅
System hubert-xl-antideepfake 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: HuBERT-XL-AntiDeepfake
slug: hubert-xl-antideepfake
paper:
arxiv_id: '2506.21090'
dataset:
id: SpeechAntiSpoofingBenchmarks/PyAra
revision: 40167badd6d8a289f02054761ee5411f49227b87
split: test
scores:
eer_percent: 0.6305804329804439
n_trials: 201778
n_skipped: 0
arena:
url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=hubert-xl-antideepfake
artifact:
scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/HuBERT-XL-AntiDeepfake/resolve/3f387ea447a9c2a2bb054f0c902a3f97a6f367e0/.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=hubert-xl-antideepfake)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=hubert-xl-antideepfake)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=hubert-xl-antideepfake)
sha=67e7a8c9b763664592233cdf3a8f9fec0ea6fc57 path=submissions/hubert-xl-antideepfake.yaml