Datasets:
Add ProSDD-ASV5 submission for PyAra (EER=21.7473)
#58
by korallll - opened
No description provided.
speech-spoof-bench ci verify-pr — ✅ all checks passed
| Submission | Schema | sha256 | EER match | Notes |
|---|---|---|---|---|
submissions/prosdd-asv5.yaml |
✅ | ✅ | ✅ | ok |
verify-pr ✅ + maintainer self-check (reproduce --scoring) passed. Merging.
korallll changed pull request status to merged
speech-spoof-bench — submission merged ✅
System prosdd-asv5 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: ProSDD-ASV5
slug: prosdd-asv5
paper:
arxiv_id: '2604.13229'
dataset:
id: SpeechAntiSpoofingBenchmarks/PyAra
revision: 40167badd6d8a289f02054761ee5411f49227b87
split: test
scores:
eer_percent: 21.747338039705134
n_trials: 201778
n_skipped: 0
arena:
url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=prosdd-asv5
artifact:
scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/ProSDD-ASV5/resolve/465334e815f13a57935b74f27a3776447345053f/.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=prosdd-asv5)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=prosdd-asv5)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=prosdd-asv5)
sha=4813104ae2a9f45e46e32fd3f669ee8b6fcf2665 path=submissions/prosdd-asv5.yaml