Whispall mirror — Speaker diarization (CoreML)

Cold-standby availability mirror of the CoreML speaker-diarization models used by Whispall (local, privacy-first macOS dictation & assistant app) for meeting-note speaker labeling on Apple Silicon (via the FluidAudio runtime).

Mirrored from: FluidInference/speaker-diarization-coreml (upstream revision 1ed7a662fdc7109e36d822db793ee6eebdaf8594 at mirror time).
Note: Whispall's FluidAudio runtime downloads from the upstream repo directly (the repo ID is baked into the library). This mirror exists so the bytes stay available if upstream ever changes; switching to it would require rebuilding the runtime.

License & attribution

CC-BY-4.0. Original models: the pyannote project (segmentation) and upstream speaker embedding model authors; CoreML conversion: FluidInference (FluidAudio project). Redistributed unmodified with attribution.

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