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README.md

@@ -14,6 +14,7 @@ tags:
 [![EER% 54.55 on CD-ADD](https://img.shields.io/badge/EER%25%20on%20CD--ADD-54.55%25-red)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 [![EER% 55.92 on InTheWild](https://img.shields.io/badge/EER%25%20on%20InTheWild-55.92%25-red)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 [![EER% 18.70 on ASVspoof2021_LA](https://img.shields.io/badge/EER%25%20on%20ASVspoof2021__LA-18.70%25-yellow)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
+[![EER% 17.00 on ASVspoof2021_DF](https://img.shields.io/badge/EER%25%20on%20ASVspoof2021__DF-17.00%25-yellow)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 [![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/rescapsguard/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 [![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/rescapsguard/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 
@@ -71,13 +72,15 @@ crop), so the numbers are exactly reproducible from the pinned score file.
 | CD-ADD | test | **54.55** | 20,786 | 0 | out-of-domain (modern neural-TTS); does not generalize |
 | InTheWild | test | **55.92** | 31,779 | 0 | out-of-domain (real-world deepfakes); does not generalize |
 | ASVspoof2021_LA | test | **18.70** | 181,566 | 0 | cross-dataset generalization |
+| ASVspoof2021_DF | test | **17.00** | 611,829 | 0 | cross-dataset generalization |
 
 The ASVspoof2019_LA result reproduces near the paper's reported 2.25 % on the LA eval
 set; the deterministic window (vs. the paper's random crop) accounts for the small
 difference. As with its Res2TCNGuard sibling, the model trained only on ASVspoof2019 LA
-does not generalize to out-of-domain sets (CD-ADD, InTheWild). The remaining
-cross-dataset rows (ASVspoof2021_DF, ASVspoof2021_LA) are added as their submissions
-are merged.
+degrades on the newer/cross-domain ASVspoof2021 LA and DF sets and does not generalize to
+the out-of-domain CD-ADD and InTheWild sets — the cost of training on a single attack
+type. The ASVspoof2021_DF result (17.00 %) matches the sibling Res2TCNGuard's 17.02 % on
+the same eval.
 
 ## Usage