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README.md
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---
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license: other
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license_name: unresolved-upstream
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tags: [source-separation, senselab, mirror]
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---
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# unasdiff diffusion source priors (mirror)
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Mirror of the two released priors for **Unsupervised Single-Channel Audio
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Separation with Diffusion Source Priors** (Shi et al., AAAI 2026),
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[arXiv:2512.07226](https://arxiv.org/abs/2512.07226).
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Held so that senselab's `source_separation` unasdiff backend can pin a revision
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and a content hash. Nothing here is original work of the Senseable Intelligence
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Group.
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## Contents
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| File | What it is |
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|---|---|
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| `speech_source.pt` | Speech prior, trained on VCTK. `num_class = 1`; its only label is `0`. |
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| `sound_source.pt` | General-sound prior, trained on FSDKaggle2018. `num_class = 50`, of which indices 0–40 are the 41 trained classes; the remaining nine slots are unused headroom. |
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| `atten_unet_vctk.toml` | Upstream config for the speech prior. |
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| `atten_unet_fsd.toml` | Upstream config for the sound prior. |
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The two label spaces are **separate**. A label index is only meaningful against
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the prior it belongs to.
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Each checkpoint carries `model` and `ema` state dicts. Upstream's own loader
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returns the **`ema`** copy; loading `model` instead runs but separates measurably
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worse, without failing.
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## Provenance
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- Upstream code: <https://github.com/RunwuShi/unasdiff>, pinned at
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`5a5d70cdc94fe9d034892a1c5bc68ad1a67d2daa`.
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- Weights: the authors' own Google Drive releases linked from the upstream README.
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## Licence status — unresolved
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The upstream repository has **no `LICENSE` file and no licence statement**, so the
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default is all rights reserved. A request for an explicit licence has been opened
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upstream; **this mirror stays private until it is answered.**
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## Known limitation, from the authors
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> The source-model-based separation approach is not well suited for same-class
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> source separation (e.g. speech separation), because it lacks speaker-conditioning.
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senselab exposes speech–speech separation anyway, with that caveat in the
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docstring, because the alternative is a user rediscovering it by measurement.
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## Citation
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```bibtex
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@inproceedings{shi2026unasdiff,
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title = {Unsupervised Single-Channel Audio Separation with Diffusion Source Priors},
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booktitle = {Proc. AAAI},
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year = {2026}
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}
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```
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