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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.
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