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Speech-Arena-2025/
DF_Arena_500M_V_1

Name: DF_Arena_500M_V_1
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DF Arena 500M - Antispoofing Model

We are excited to release DF Arena 500M 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_500M_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	12.30	0.9133	87.70
codecfake	6.36	0.8997	93.65
asvspoof_2021_la	4.23	0.8191	95.77
in_the_wild	1.76	0.9860	98.24
asvspoof_2019	1.09	0.9494	98.91
add_2022_track_1	23.98	0.6453	76.02
fake_or_real	2.30	0.9773	97.73
asvspoof_2024	12.39	0.7423	87.61
add_2022_track_3	2.77	0.9200	97.23
add_2023_round_1	7.47	0.9465	92.53
librisevoc	0.12	0.9955	99.87
asvspoof_2021_df	3.30	0.6200	96.70
sonar	1.90	0.9837	98.13
Average	5.78	0.884	94.19
Pooled	10.88	0.78	89.11

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 speech.arena.eval@gmail.com.

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}, 
}