Wav2Vec2 Small AntiDeepfake NDA
Bit-exact copy of nii-yamagishilab/wav2vec-small-anti-deepfake-nda (the AntiDeepfake collection, nii-yamagishilab), hosted for the Speech Anti-Spoofing Arena. Trained without data augmentation (NDA).
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 360–363 MB
- Modelo base
- nii-yamagishilab/wav2vec-small-anti-deepfake-nda
- Versión
- vRevision c0a3277
- Actualizado
- 25 oct 2026
- Descargas
- 45
- Fuente
- Hugging Face
Descripción de la fuente
Wav2Vec2-Small-AntiDeepfake-NDA
Bit-exact copy of nii-yamagishilab/wav2vec-small-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
- Original code: https://github.com/nii-yamagishilab/AntiDeepfake
- Backbone: wav2vec 2.0 Base; 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
EER% 2.86 on XMAD EER% 0.58 on PyAra EER% 16.20 on ODSS EER% 4.82 on J-SPAW_LA EER% 18.15 on DeepVoice EER% 4.95 on InTheWild EER% 15.98 on ArAD 1-SRR% 0.25 on LRLspoof EER% 1.83 on EmoFake_test 1-SRR% 0.63 on EmoSpoofTTS arena tier arena rank
Maintainer
Maintained by Kirill Borodin (SpeechAntiSpoofingBenchmarks).
- Email: [email protected]
- Telegram: @korallll_ai
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 25 oct
Download files
Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactoswav2vec2-small-antideepfake-nda.onnx
onnx · 360 MB · SHA-256 70243a328490…2212 · Hugging Face
Download fileExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: cc-by-nc-sa-4.0 base_model: - nii-yamagishilab/wav2vec-small-anti-deepfake-nda tags: - anti-spoofing - audio-deepfake-detection - speech pipeline_tag: audio-classification --- # Wav2Vec2-Small-AntiDeepfake-NDA Bit-exact copy of [`nii-yamagishilab/wav2vec-small-anti-deepfake-nda`](https://huggingface.co/nii-yamagishilab/wav2vec-small-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:** wav2vec 2.0 Base; 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 --> [](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wav2vec2-small-antideepfake-nda) [](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wav2vec2-small-antideepfake-nda) [](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wav2vec2-small-antideepfake-nda) [](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=wav2vec2-small-antideepfake-nda) [