Pyannote Segmentation 3.0 — GGUF
Native GGUF port of pyannote/segmentation-3.0 for speaker diarization.
Model details
| Property | Value |
|---|---|
| Architecture | SincNet + 4× biLSTM + Linear + LogSoftmax |
| Format | GGUF (F32) |
| Size | 5.7 MB |
| Tensors | 41 |
| Output classes | 7 (powerset mapping → 3 speakers) |
| Input | 10 s mono 16 kHz audio frames |
The model performs joint voice-activity detection, speaker segmentation, and overlapped-speech detection on short audio chunks. Downstream clustering then produces full-file speaker diarization.
Usage with CrispASR
crispasr \
--diarize-method pyannote \
--sherpa-segment-model pyannote-seg-3.0.gguf \
audio.wav
Provenance
Weights were exported directly from the original PyTorch checkpoint (pyannote/segmentation-3.0) into GGUF format, preserving full F32 precision across all 41 tensors.
License
MIT — same as the original pyannote-audio segmentation-3.0 model.
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Model tree for cstr/pyannote-v3-segmentation-GGUF
Base model
pyannote/segmentation-3.0