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Bit-exact copy of nii-yamagishilab/hubert-xlarge-anti-deepfake-nda (the AntiDeepfake collection, nii-yamagishilab), hosted for the Speech Anti-Spoofing Arena. Trained without data augmentation (NDA).
Fonte do modelo
Descrição da fonte
Bit-exact copy of nii-yamagishilab/hubert-xlarge-anti-deepfake-nda (the AntiDeepfake
collection, nii-yamagishilab), hosted for the Speech Anti-Spoofing Arena.
Trained without data augmentation (NDA).
Fontes
1 fonteVerificado 7 de ago.
Artefatos de modelo
2 artefatosTrechos de fonte
2 trechosIt 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).
EER% 13.31 on XMAD EER% 5.22 on PyAra EER% 26.34 on ODSS EER% 1.92 on J-SPAW_LA EER% 16.16 on DeepVoice EER% 10.93 on InTheWild EER% 29.42 on ArAD 1-SRR% 7.38 on LRLspoof EER% 5.46 on EmoFake_test 1-SRR% 40.32 on EmoSpoofTTS arena tier arena rank
Maintained by Kirill Borodin (SpeechAntiSpoofingBenchmarks).
--- license: cc-by-nc-sa-4.0 base_model: - nii-yamagishilab/hubert-xlarge-anti-deepfake-nda tags: - anti-spoofing - audio-deepfake-detection - speech pipeline_tag: audio-classification --- # HuBERT-XL-AntiDeepfake-NDA Bit-exact copy of [`nii-yamagishilab/hubert-xlarge-anti-deepfake-nda`](https://huggingface.co/nii-yamagishilab/hubert-xlarge-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:** HuBERT extra-large; 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=hubert-xl-antideepfake-nda) [](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=hubert-xl-antideepfake-nda) [](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=hubert-xl-antideepfake-nda) [](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=hubert-xl-antideepfake-nda) [