| --- |
| 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. |
|
|
