Add ASVspoof2021_DF result.yaml + README badge/row

.eval_results/SpeechAntiSpoofingBenchmarks/ASVspoof2021_DF/result.yaml

@@ -0,0 +1,19 @@
+schema_version: 1
+system:
+  name: Res2TCNGuard
+  slug: res2tcnguard
+  paper:
+    arxiv_id: 10.48084/etasr.8906
+dataset:
+  id: SpeechAntiSpoofingBenchmarks/ASVspoof2021_DF
+  revision: 16d4f7d6c68694ac9b0bd43b83df322d1bc5102e
+  split: test
+scores:
+  eer_percent: 17.018172171375515
+  n_trials: 611829
+  n_skipped: 0
+arena:
+  url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena
+  system_url: https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard
+artifact:
+  scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/Res2TCNGuard/resolve/3ea67313448591c86bbe6a62ada4ae840869e9ba/.eval_results/SpeechAntiSpoofingBenchmarks/ASVspoof2021_DF/scores.txt

README.md

@@ -11,6 +11,7 @@ tags:
 # Res2TCNGuard
 
 [![EER% 1.5 on ASVspoof2019_LA](https://img.shields.io/badge/EER%25%20on%20ASVspoof2019__LA-1.5%25-brightgreen)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard)
+[![EER% 17.02 on ASVspoof2021_DF](https://img.shields.io/badge/EER%25%20on%20ASVspoof2021__DF-17.02%25-yellow)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard)
 [![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/res2tcnguard/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard)
 [![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/res2tcnguard/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=res2tcnguard)
 
@@ -64,11 +65,14 @@ Evaluated through the reproducible [Speech Anti-Spoofing Arena](https://huggingf
 Scores were computed with a **deterministic first-64,600-sample window** (no random
 crop), so the numbers are exactly reproducible from the pinned score file.
 
-| Dataset | Split | EER % | Trials | Skipped |
-|---|---|---|---|---|
-| ASVspoof2019_LA | test | **1.50** | 71,237 | 0 |
+| Dataset | Split | EER % | Trials | Skipped | Notes |
+|---|---|---|---|---|---|
+| ASVspoof2019_LA | test | **1.50** | 71,237 | 0 | in-domain (training data) |
+| ASVspoof2021_DF | test | **17.02** | 611,829 | 0 | cross-dataset generalization |
 
-This reproduces the paper's reported 1.49 % on the ASVspoof 2019 LA eval set.
+The ASVspoof2019_LA result reproduces the paper's reported 1.49 % on the LA eval set.
+ASVspoof2021_DF is an out-of-domain test (the model was trained only on ASVspoof2019 LA),
+so a higher EER is expected — it measures generalization to newer, unseen attacks.
 
 ## Usage