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XLS-R-2B-AntiDeepfake

Audio Classification
Safetensors
wav2vec2
anti-spoofing
audio-deepfake-detection
speech
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XLS-R-2B-AntiDeepfake
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---
license: cc-by-nc-sa-4.0
base_model:
- nii-yamagishilab/xls-r-2b-anti-deepfake
tags:
- anti-spoofing
- audio-deepfake-detection
- speech
pipeline_tag: audio-classification
---

# XLS-R-2B-AntiDeepfake

Bit-exact copy of [`nii-yamagishilab/xls-r-2b-anti-deepfake`](https://huggingface.co/nii-yamagishilab/xls-r-2b-anti-deepfake) (the AntiDeepfake
collection, nii-yamagishilab), hosted for the Speech Anti-Spoofing **Arena**.
Trained with RawBoost data augmentation (default).

- **Paper:** Post-training for Deepfake Speech Detection, [arXiv:2506.21090](https://arxiv.org/abs/2506.21090)
- **Original code:** https://github.com/nii-yamagishilab/AntiDeepfake
- **Backbone:** XLS-R 2B; head = AdaptiveAvgPool1d + Linear(D, 2). Score = real logit.
- **License:** CC BY-NC-SA 4.0 (non-commercial) — inherited from the source.

## ⚠️ Evaluation restriction

It is **STRICTLY PROHIBITED** to evaluate this model on its training / in-domain
corpora: ASVspoof2019 LA, ASVspoof2021 LA/DF, ASVspoof5, CFAD, DECRO, DFADD,
"Diffuse or Confuse", DiffSSD, DSD, HABLA, MLAAD, SpoofCeleb, CVoiceFake, any
LibriTTS-based set (incl. SONAR, CD-ADD, LibriSeVoc), any VoxCeleb-based set,
WaveFake, any FLEURS-based set, CodecFake (any variant), any AIShell3-based set,
and any MLS-based set. On the Arena it is evaluated **only** on ArAD and
In-the-Wild.

All credit to the original authors (Ge, Wang, et al., NII).


## Arena results

<!-- arena-badges -->
[![EER% 2.21 on ODSS](https://img.shields.io/badge/EER%25%20on%20ODSS-2.21%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake)
[![EER% 0.19 on J-SPAW_LA](https://img.shields.io/badge/EER%25%20on%20J--SPAW_LA-0.19%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake)
[![EER% 4.94 on DeepVoice](https://img.shields.io/badge/EER%25%20on%20DeepVoice-4.94%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake)
[![EER% 2.81 on InTheWild](https://img.shields.io/badge/EER%25%20on%20InTheWild-2.81%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake)
[![EER% 4.13 on ArAD](https://img.shields.io/badge/EER%25%20on%20ArAD-4.13%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake)
[![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/xls-r-2b-antideepfake/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake)
[![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/xls-r-2b-antideepfake/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake)