Datasets:

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SpeechAntiSpoofingBenchmarks

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ASVspoof5

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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 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 This system is listed in the 🔓 Unpublished / Proprietary tier and is not ranked against published models.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/ASVspoof5
  revision: 9937de5e630b137bb31e9f5901209b2705ddef63
  split: test
scores:
  eer_percent: 17.636709736963542
  n_trials: 680774
  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/c6167c7977c0624ab3f89391e891f5a9b01f53a4/.eval_results/SpeechAntiSpoofingBenchmarks/ASVspoof5/scores.txt

Upload it with:

huggingface-cli upload <your-model-repo> result.yaml \
  .eval_results/SpeechAntiSpoofingBenchmarks/ASVspoof5/result.yaml

2. Add the badge lines to your README

[![EER% 17.64 on ASVspoof5](https://img.shields.io/badge/EER%25%20on%20ASVspoof5-17.64%25-lightgrey)](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=c65366ccc241936f5ffb63f5312cf9ae6ef86a92 path=submissions/pellav2.yaml

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