Datasets:
Add SSL-Mamba submission for PyAra (EER=5.5291)
#45
by korallll - opened
No description provided.
speech-spoof-bench ci verify-pr — ✅ all checks passed
| Submission | Schema | sha256 | EER match | Notes |
|---|---|---|---|---|
submissions/ssl-mamba.yaml |
✅ | ✅ | ✅ | ok |
verify-pr ✅ + maintainer self-check (reproduce --scoring) passed. Merging.
korallll changed pull request status to merged
speech-spoof-bench — submission merged ✅
System ssl-mamba 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: SSL-Mamba
slug: ssl-mamba
paper:
arxiv_id: 10.21437/Interspeech.2025-1703
dataset:
id: SpeechAntiSpoofingBenchmarks/PyAra
revision: 40167badd6d8a289f02054761ee5411f49227b87
split: test
scores:
eer_percent: 5.529076797066968
n_trials: 201778
n_skipped: 0
arena:
url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=ssl-mamba
artifact:
scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/SSL-Mamba/resolve/43fe7e4ec5f7d11c5198bc65317849b38b018f17/.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=ssl-mamba)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=ssl-mamba)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=ssl-mamba)
sha=9e8c3aa2f2e72e0761a5d125ee2c2fd2d1ad4df9 path=submissions/ssl-mamba.yaml