---
license: other
license_name: mixed-see-provenance
tags:
  - speaker-diarization
  - speaker-recognition
  - onnx
  - sherpa-onnx
---

# yap-diarize-models — Yap's pinned diarization model mirror

This repository is a **byte-for-byte mirror** of two upstream sherpa-onnx release
assets. Nothing here is re-exported, re-quantized or re-packaged: the files are
uploaded exactly as the upstream release serves them, so their sha256 digests
match the upstream digests.

It exists so that [Yap](https://github.com/wilsonguenther-dev/wilson-voice)'s
`models.rs` catalog can pin a **revision + sha256** it controls, instead of
downloading vendor release archives directly at runtime.

| File | Bytes | sha256 | Upstream |
|---|---|---|---|
| `sherpa-onnx-pyannote-segmentation-3-0.tar.bz2` | 6,958,444 | `24615ee884c897d9d2ba09bb4d30da6bb1b15e685065962db5b02e76e4996488` | [k2-fsa/sherpa-onnx `speaker-segmentation-models`](https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2) |
| `wespeaker_en_voxceleb_CAM++.onnx` | 29,292,684 | `c46fad10b5f81e1aa4a60c162714208577093655076c5450f8c469e522ec54ef` | [k2-fsa/sherpa-onnx `speaker-recongition-models`](https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/wespeaker_en_voxceleb_CAM++.onnx) (upstream tag typo is upstream's) |

## Licenses (unchanged by mirroring)

* **pyannote/segmentation-3.0** — MIT (`LICENSE` inside the archive, © 2022 CNRS).
  The model card states it will remain open-source. The archive also carries an
  `model.int8.onnx` quantized sibling and the upstream export scripts; Yap loads
  `sherpa-onnx-pyannote-segmentation-3-0/model.onnx`
  (5,992,913 bytes, sha256 `220ad67ca923bef2fa91f2390c786097bf305bceb5e261d4af67b38e938e1079`).
* **wespeaker_en_voxceleb_CAM++** — WeSpeaker toolkit is Apache-2.0; the
  VoxCeleb-derived weights are CC-BY-4.0. 192-dimensional embeddings.

Rev's `sherpa-onnx-reverb-diarization-v{1,2}` models are deliberately **not**
mirrored here: they are released for non-commercial use only, which is
incompatible with a paid product.