Papers by David Guennec
When depth is redundant: Efficient transformer-based speech anti-spoofing (2026.findings-acl)
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| Challenge: | Existing anti-spoofing countermeasures exhibit limited generalization to unseen spoof attacks, especially in out-of-domain evaluation settings. |
| Approach: | They propose a training strategy that aligns shallow and intermediate representations with those of the final transformer layer for speech deepfake detection. |
| Outcome: | The proposed model improves robustness to unseen spoofing attacks and enhances out-of-domain generalization over strong baselines. |