| # DeepFense Paper Scores |
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| Canonical, reproducible score bundle for the DeepFense camera-ready paper. |
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| **Hugging Face:** [DeepFense/prediction_scores](https://huggingface.co/datasets/DeepFense/prediction_scores) |
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| --- |
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| ## Directory layout |
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| ``` |
| scores/ |
| ├── README.md |
| ├── {train_recipe}/ # dataset the model was TRAINED on |
| │ ├── {backend}/ # AASIST | MLP | Nes2Net | TCM |
| │ │ └── {frontend}/ # Wav2Vec2 | HuBERT | WavLM | EAT |
| │ │ └── seed{2|42|240}/ |
| │ │ └── {eval_benchmark}/ # held-out TEST set |
| │ │ ├── predictions.txt # per-utterance scores (TSV) |
| │ │ └── metrics.json # EER, ACC, F1, … |
| │ └── _summaries/{eval_benchmark}.json # optional cross-architecture tables |
| └── bias_fairness/ |
| └── {accent|emotions|gender|language|quality}/ |
| └── {eval_benchmark}/ |
| └── {train_recipe}/{backend}/{frontend}/seed{N}/ |
| └── utterances.txt # scores + subgroup metadata (TSV) |
| ``` |
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| ### Example |
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| From checkpoint `DeepFense_ADD23_Wav2Vec2_TCM_NoAug_Seed240` evaluated on `add22_test_track1`: |
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| ``` |
| ADD23/TCM/Wav2Vec2/seed240/add22_test_track1/predictions.txt |
| ADD23/TCM/Wav2Vec2/seed240/add22_test_track1/metrics.json |
| ``` |
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| --- |
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| ## Naming conventions |
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| | Token | Canonical form | Notes | |
| |-------|----------------|-------| |
| | **Train recipe** | `ASV5`, `ASV19`, `ADD23`, `CodecFake`, `HABLA`, `PartialSpoof` | Training dataset (not the eval set). `ASV5` = trained on ASVspoof 5; do not confuse with eval `asvspoof5_test`. | |
| | **Frontend** | `Wav2Vec2`, `HuBERT`, `WavLM`, `EAT` | Always PascalCase; `Hubert` → `HuBERT`. | |
| | **Backend** | `AASIST`, `MLP`, `Nes2Net`, `TCM` | Uppercase acronym. | |
| | **Seed** | `seed2`, `seed42`, `seed240` | Three seeds per recipe. | |
| | **Eval benchmark** | lowercase snake_case | e.g. `asvspoof5_test`, `asvspoof2019_la_eval`, `mlaad_final`, `add22_test_track1`. | |
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| ### Eval benchmarks (20) |
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| `add22_test_track1`, `add22_test_track3`, `add23_test_R1`, `add23_test_R2`, `asvspoof2019_la_eval`, `asvspoof21_df_eval`, `asvspoof21_la_eval`, `asvspoof5_test`, `codecfake_eval`, `ctrsvdd_eval`, `fakemusiccaps_eval`, `habla_test`, `itw_eval`, `mlaad_final`, `odss_test`, `partialedit_eval`, `partialspoof_eval`, `replaydf_all_eval`, `spoofceleb_eval` |
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| --- |
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| ## File formats (`.txt` / `.json` only) |
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| ### `predictions.txt` — clip-level (TSV) |
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| ``` |
| utterance_id label score_spoof score_bonafide |
| LA_E_12345 0 -2.14895 3.14895 |
| LA_T_67890 1 4.37140 -3.37140 |
| ``` |
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| - `label`: `0` = spoof, `1` = bonafide |
| - LLR = `score_bonafide − score_spoof` |
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| ### `metrics.json` |
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| Per-run aggregated metrics (EER, ACC, F1, confidence intervals). |
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| ### `bias_fairness/.../utterances.txt` |
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| Per-utterance scores with subgroup columns (gender, accent, NISQA quality, etc.). |
| Score columns: `score_spoof`, `score_bonafide` (renamed from legacy `class0`/`class1`). |
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