Datasets:
Add LaST-Net submission for PyAra (EER=7.7056)
#64
by korallll - opened
No description provided.
speech-spoof-bench ci verify-pr — ✅ all checks passed
| Submission | Schema | sha256 | EER match | Notes |
|---|---|---|---|---|
submissions/last-net.yaml |
✅ | ✅ | ✅ | ok |
verify-pr ✅ + maintainer self-check (reproduce --scoring) passed. Merging.
korallll changed pull request status to merged
speech-spoof-bench — submission merged ✅
System last-net is now live on the Arena.
ℹ️ No paper attached. This system is listed in the 🔓 Unpublished / Proprietary tier and is not ranked against published models.
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: LaST-Net
slug: last-net
dataset:
id: SpeechAntiSpoofingBenchmarks/PyAra
revision: 40167badd6d8a289f02054761ee5411f49227b87
split: test
scores:
eer_percent: 7.705584170256717
n_trials: 201778
n_skipped: 0
arena:
url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=last-net
artifact:
scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/LaST-Net/resolve/bbe8e45c8b5e71234dede80d34ad3105fe1e80cd/.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=last-net)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=last-net)
[](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=last-net)
sha=7ea0de29ff71986ed5150d335219bea229b0016b path=submissions/last-net.yaml