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 ci verify-pr — no submission changes detected.

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speech-spoof-bench — submission merged ✅

System pellav2 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 This system is listed in the 🔓 Unpublished / Proprietary tier and is not ranked against published models.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: Pellav2
  slug: pellav2
dataset:
  id: SpeechAntiSpoofingBenchmarks/PyAra
  revision: 40167badd6d8a289f02054761ee5411f49227b87
  split: test
scores:
  eer_percent: 1.9103709193026248
  n_trials: 201778
  n_skipped: 0
arena:
  url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
  system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=pellav2
artifact:
  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Pellav2/resolve/9e1810ae1df225a27eb59408adb184be0c0e0a04/.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% 1.91 on PyAra](https://img.shields.io/badge/EER%25%20on%20PyAra-1.91%25-brightgreen)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=pellav2)
[![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/pellav2/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=pellav2)
[![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/pellav2/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=pellav2)

sha=9deb70623d9e4d2766062ff51a2cd4dc743bbf88 path=submissions/pellav2.yaml

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