---
license: mit
tags:
  - speech-enhancement
  - interpretability
  - cka
  - probing
---

# SE-Probe full results dataset

Pre-computed CKA, diffusion-map, and probing results for [SE-Probe](https://github.com/YairAmar/SE-Probe), the public code release for *"Where Does Speech Enhancement Adapt? Probing Study Under Controlled Degradation"* (Amar, Ivry, Cohen, 2026).

📄 Paper: [arXiv:2512.00482](https://arxiv.org/abs/2512.00482)

## Layout

- `snr/cka_snr_<model>.parquet`: per-architecture (MUSE, MP-SENet, Demucs) CKA values across additive-noise SNRs and DEMAND noise types, with per-row audio quality metrics (PESQ, STOI, SI-SDR, DNSMOS family).
- `reverb/cka_reverb_muse_epoch_<N>.parquet`: per-epoch reverb-FT MUSE probing parquets. Epoch 48 is the final fine-tuned model; the others trace the fine-tuning trajectory.
- `diffusion_maps/`: pre-computed diffusion-map embeddings per (model, snr, noise, layer).

Total ~3.1 GB. To download into a local SE-Probe checkout: `python scripts/setup.py --full-data`.

## Citation

```bibtex
@article{amar2026seprobe,
  title         = {Where Does Speech Enhancement Adapt? Probing Study Under Controlled Degradation},
  author        = {Yair Amar and Amir Ivry and Israel Cohen},
  year          = {2026},
  eprint        = {2512.00482},
  archivePrefix = {arXiv},
  primaryClass  = {eess.AS},
  url           = {https://arxiv.org/abs/2512.00482}
}
```

## License

MIT.