| # Codecfake-W2V2-AASIST-Codec — implementation notes |
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| Codec-trained **W2V2-AASIST** of the Codecfake paper (Xie et al., arXiv 2405.04880), plan model #8, built |
| 2026-11-01. Everything except the checkpoint is identical to `../Codecfake-W2V2-AASIST-CoTrain/` (same `_net.py` |
| copy; see that dir's notes for the port, XLS-R truncation bit-identity proof, allow-list unpickler, score |
| definition, TF32-off). Helper scripts (`run_sets.sh`, `trt_export_both.sh`, `trt_jspaw.sh`, `parity.py`) live in |
| the CoTrain dir and cover both models. |
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| - Code: xieyuankun/Codecfake @ `72c32e2840eef95fbeade349425fa9c5391fa11e`, **no LICENSE** → linked, not re-hosted. |
| - Checkpoint: `pretrained_model/codec_w2v2aasist/anti-spoofing_feat_model.pt` (sha256 `5a606d1f…c25a3`), trained on |
| Codecfake train only; fetched at load time from the pinned raw GitHub URL → `head_codec_w2v2aasist.safetensors`. |
| Strict load 245 keys; pickled temperatures/pool ratios identical to the port. |
| - Params 76,554,634. Score = logits[:,0] − logits[:,1] (class 0 = bona fide). trained_on: none. |
| |
| ## Reproduction vs authors' `result/ITW_result.txt` (no 19LA file shipped for this model) |
| Full InTheWild (31 779): EER ours 9.274% vs authors 9.609%; Pearson (logit) 0.9989, Spearman 0.9990, |
| median |Δ logit| 0.044 — the same 16-bit-FLAC packaging residual measured for the CoTrain sibling (float |
| source wavs: median |Δ| 0.0035). |
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| ## Throughput / TRT (2026-11-01, shared GPUs) |
| PyTorch: same arch as CoTrain (288 / 104 utt/s on 4070 Ti SUPER / 5060 Ti). TRT sidecar |
| `trt_codecfake-w2v2-aasist-codec.json`: |
| | card | precision | best batch | utt/s | build Spearman | J-SPAW_LA EER PT → TRT | Spearman vs PT | |
| |---|---|---|---|---|---|---| |
| | RTX 4070 Ti SUPER | FP32 (FP16 0.9997 < 0.9999) | 32 | 395 | 1.0000 | 0.1252 → 0.1252 | 0.999999 | |
| | RTX 5060 Ti | FP16 (0.99995) | 16 | 784 | 0.99995 | 0.1252 → 0.1252 | 0.99996 | |
| Both accepted. |
| |
