sparkaiur/dfd-500m-v1

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

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

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 :

@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}, 
}