Datasets:

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SpeechAntiSpoofingBenchmarks

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PyAra

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Speech Antispoofing Benchmarks by lab260 14

speech-spoof-bench ci verify-pr — ✅ all checks passed

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verify-pr ✅ + maintainer self-check (reproduce --scoring) passed. Merging.

speech-spoof-bench — submission merged ✅

System pellav3 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 This system is listed in the 🔓 Unpublished / Proprietary tier and is not ranked against published models.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: Pellav3
  slug: pellav3
dataset:
  id: SpeechAntiSpoofingBenchmarks/PyAra
  revision: 40167badd6d8a289f02054761ee5411f49227b87
  split: test
scores:
  eer_percent: 0.12774689806069336
  n_trials: 201778
  n_skipped: 0
arena:
  url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
  system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=pellav3
artifact:
  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Pellav3/resolve/db0857f2ab17e7da0d3e3573b095c00a0dc4fa2e/.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

[![EER% 0.13 on PyAra](https://img.shields.io/badge/EER%25%20on%20PyAra-0.13%25-brightgreen)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=pellav3)
[![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/pellav3/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=pellav3)
[![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/pellav3/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=pellav3)

sha=75b8a3f3a1fe4cfca4958c54e4fcb518475960cb path=submissions/pellav3.yaml

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