publish pyannote-segmentation-3.0 OpenASR packs

.gitattributes

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+*.oasr filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: mit
+base_model: onnx-community/pyannote-segmentation-3.0
+pipeline_tag: voice-activity-detection
+library_name: openasr
+tags:
+  - speaker-diarization
+  - openasr
+  - oasr
+---
+
+<div align="center">
+
+# pyannote Segmentation 3.0 · OpenASR
+
+**pyannote segmentation-3.0 — speaker-change and overlap aware speech segmentation for OpenASR diarization**
+
+[![License](https://img.shields.io/badge/license-MIT-2563eb.svg)](https://huggingface.co/onnx-community/pyannote-segmentation-3.0)
+[![Format](https://img.shields.io/badge/format-.oasr-7c3aed.svg)](https://github.com/QuintinShaw/OpenASR)
+[![Runtime](https://img.shields.io/badge/runtime-OpenASR-111827.svg)](https://openasr.org)
+[![Base model](https://img.shields.io/badge/base-pyannote--segmentation--3.0-f59e0b.svg)](https://huggingface.co/onnx-community/pyannote-segmentation-3.0)
+
+Speaker-diarization support pack for the **[OpenASR](https://github.com/QuintinShaw/OpenASR)** runtime —
+pure-Rust inference, **no Python at inference time**.
+
+</div>
+
+---
+
+## ✨ Highlights
+
+- ✂️ **Speaker-change aware segmentation** — PyanNet (SincNet + BiLSTM) with a powerset head that detects up to 3 concurrent speakers, including overlapped speech
+- 🤝 **Quality upgrade for `--diarize`** — installed alongside the CAM++ embedder pack, it replaces coarse VAD slices with fine speaker-turn boundaries
+- 🔒 **Diarization, not identification** — anonymous session-relative labels; nothing leaves the machine
+- 🎯 **Bit-exact packaging** — single raw-f32 build; the pure-Rust forward pass matches the upstream ONNX logits (max abs error ~7e-5)
+- 🦀 **Native in OpenASR** — `.oasr` packs run with no Python at inference, engineered for peak performance on CPU & GPU
+
+## 🚀 Quickstart
+
+```bash
+# 1. Install the OpenASR CLI  ·  https://openasr.org
+# 2. Pull the pack
+openasr pull pyannote-segmentation-3.0:f32
+
+# 3. Diarize any transcription (works with every OpenASR ASR model)
+openasr transcribe meeting.wav --model xasr-zh-en --diarize --format srt
+```
+
+## 📦 Pack
+
+| Quant | File (`.oasr`) | Size |
+|:------|:---------------|-----:|
+| f32 | `pyannote-segmentation-3.0-f32.oasr` | 6 MB |
+
+<sub>Single raw-**f32** build: the pure-Rust forward pass consumes f32 directly and the
+parity gates assert bit-exact outputs vs the upstream weights, so no integer
+quantization is produced.</sub>
+
+## 🧠 About pyannote Segmentation 3.0
+
+pyannote **segmentation-3.0** is the local speech-segmentation model from the pyannote speaker
+diarization toolkit: a PyanNet (SincNet front-end + bidirectional LSTM) classifier over a 7-class
+powerset that labels every 10 s window with which of up to three speakers are active — including
+overlapped speech. OpenASR uses it as the optional segmentation stage of its model-agnostic
+diarization pipeline: when this pack is installed, `--diarize` splits speech at speaker changes
+instead of relying on coarse VAD slices, then the CAM++ embedder pack clusters the segments into
+anonymous speaker turns. Weights are extracted from the un-gated, MIT-licensed
+**onnx-community** ONNX mirror at a pinned revision and repackaged as a raw-f32 `.oasr` pack that
+runs in pure Rust — no Python at inference time.
+
+## ⚙️ How this pack was made
+
+Converted from [onnx-community/pyannote-segmentation-3.0](https://huggingface.co/onnx-community/pyannote-segmentation-3.0) with the OpenASR importer:
+
+```bash
+openasr model-pack import-pyannote-local <src>.safetensors <out>.oasr \
+  --package-id pyannote-segmentation-3.0
+```
+
+The `.oasr` container is GGUF-backed; every tensor is stored as raw f32 so the
+pack round-trips bit-identically against the source weights.
+
+## ⚖️ License
+
+This pack **inherits the upstream model's license: MIT**
+([source](https://huggingface.co/onnx-community/pyannote-segmentation-3.0)). OpenASR packaging retains the upstream copyright;
+the only modification is format conversion.
+
+## 🙏 Acknowledgements
+
+This pack is a redistribution of **pyannote segmentation-3.0**, created by Hervé Bredin and the
+**pyannote.audio** project, via the un-gated ONNX mirror
+([onnx-community/pyannote-segmentation-3.0](https://huggingface.co/onnx-community/pyannote-segmentation-3.0)).
+All credit for the architecture, training, and weights belongs to the upstream authors; the license
+is inherited from and identical to the upstream model (MIT).
+
+## 🔗 Links
+
+- 🦀 **OpenASR** — <https://github.com/QuintinShaw/OpenASR>
+- 🌐 **Website** — <https://openasr.org>
+- 🤗 **Upstream model** — [onnx-community/pyannote-segmentation-3.0](https://huggingface.co/onnx-community/pyannote-segmentation-3.0)

pyannote-segmentation-3.0-f32.oasr

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