README.md

---
license: cc-by-nc-sa-4.0
base_model:
- nii-yamagishilab/xls-r-2b-anti-deepfake-nda
tags:
- anti-spoofing
- audio-deepfake-detection
- speech
pipeline_tag: audio-classification
---

# XLS-R-2B-AntiDeepfake-NDA

Bit-exact copy of [`nii-yamagishilab/xls-r-2b-anti-deepfake-nda`](https://huggingface.co/nii-yamagishilab/xls-r-2b-anti-deepfake-nda) (the AntiDeepfake
collection, nii-yamagishilab), hosted for the Speech Anti-Spoofing **Arena**.
Trained **without** data augmentation (NDA).

- **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% 0.25 on XMAD](https://img.shields.io/badge/EER%25%20on%20XMAD-0.25%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![EER% 0.29 on PyAra](https://img.shields.io/badge/EER%25%20on%20PyAra-0.29%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![EER% 1.47 on ODSS](https://img.shields.io/badge/EER%25%20on%20ODSS-1.47%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![EER% 0.00 on J-SPAW_LA](https://img.shields.io/badge/EER%25%20on%20J--SPAW_LA-0.00%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![EER% 5.25 on DeepVoice](https://img.shields.io/badge/EER%25%20on%20DeepVoice-5.25%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![EER% 2.99 on InTheWild](https://img.shields.io/badge/EER%25%20on%20InTheWild-2.99%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![EER% 1.86 on ArAD](https://img.shields.io/badge/EER%25%20on%20ArAD-1.86%25-lightgrey)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![1-SRR% 0.32 on LRLspoof](https://img.shields.io/badge/1--SRR%25%20on%20LRLspoof-0.32%25-brightgreen)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![EER% 1.83 on EmoFake_test](https://img.shields.io/badge/EER%25%20on%20EmoFake__test-1.83%25-brightgreen)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![1-SRR% 4.6 on EmoSpoofTTS](https://img.shields.io/badge/1--SRR%25%20on%20EmoSpoofTTS-4.6%25-green)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/xls-r-2b-antideepfake-nda/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)
[![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/xls-r-2b-antideepfake-nda/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=xls-r-2b-antideepfake-nda)

## Maintainer

Maintained by Kirill Borodin (SpeechAntiSpoofingBenchmarks).
- Email: kborodin.research@gmail.com
- Telegram: [@korallll_ai](https://t.me/korallll_ai)