You can deploy this model and start earning money today!

Speech-Arena-2025/
DF_Arena_1B_V_1

Name: DF_Arena_1B_V_1
Availability: InStock

Views

No views yet

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

python

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 :

bibtex

@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}, 
}