sparkaiur/dfd-1b-v1

DF Arena 1B - Antispoofing Model

We are excited to release DF Arena 1B Universal Antispoofing model 🔥trained on traditional speech antispoofing datasets in addition to singing and environmental deepfake data. Check out the release on DF Arena leaderboard

Training Data

• ASVspoof 2019, 2024
• Codecfake
• LibriSeVoc
• DFADD
• CTRSVDD
• SpoofCeleb
• MLAAD
• EnvSDD

Usage

from transformers import pipeline
import librosa

 #load model
pipe = pipeline("antispoofing", model="Speech-Arena-2025/DF_Arena_1B_V_1", trust_remote_code=True, device='cuda')
audio, sr = librosa.load("sample.wav", sr=16000)
result = pipe(audio)
print(result)
# Output: 
{'label': 'spoof', 'logits': [[1.5515458583831787, -1.2254822254180908]], 'score': 0.9414217472076416, 'all_scores': {'spoof': 0.9414217472076416, 'bonafide': 0.05857823044061661}}

Evaluation

Dataset	EER (%)	F1-score	Accuracy (%)
dfadd	0.00	0.9993	99.97
add_2023_round_2	11.54	0.9188	88.46
codecfake	8.37	0.8695	91.63
asvspoof_2021_la	4.66	0.8037	95.34
in_the_wild	0.91	0.9928	99.10
asvspoof_2019	1.14	0.9473	98.86
add_2022_track_1	22.21	0.6678	77.79
fake_or_real	2.92	0.9711	97.11
asvspoof_2024	17.25	0.6615	82.75
add_2022_track_3	2.20	0.9357	97.80
add_2023_round_1	5.08	0.9639	94.92
librisevoc	0.15	0.9958	99.84
asvspoof_2021_df	1.75	0.7577	98.25
sonar	1.09	0.9903	98.89
Average	5.919	0.8863	94.079
Pooled	9.52	0.81	90.47

License

We use a non-commercial license which can be found here

Contact

For questions or issues, please open an issue on the model repository or contact us at ajinkya.kulkarni@idiap.ch.

Stay tuned for upcoming versions of our models!

Citation

If you use this model in your work, it can be cited as :

@misc{kulkarni2026compactsslbackbonesmatter,
      title={Do Compact SSL Backbones Matter for Audio Deepfake Detection? A Controlled Study with RAPTOR}, 
      author={Ajinkya Kulkarni and Sandipana Dowerah and Atharva Kulkarni and Tanel Alumäe and Mathew Magimai Doss},
      year={2026},
      eprint={2603.06164},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2603.06164}, 
}