Pinned, byte-preserving mirror of the assets used by OneMira's offline speaker-label worker. Original Community-1 models: pyannote/speaker-diarization-community-1, pyannote contributors, CC BY 4.0. Core ML conversion: FluidInference/speaker-diarization-coreml, revision 1ed7a662fdc7109e36d822db793ee6eebdaf8594. The converted embedding graph exposes raw features before L2 normalization so OneMira can preserve the upstream PLDA centering semantics. No weight training or model upgrade is included. SOURCE.json records upstream provenance and every artifact size/SHA-256. NOTICE.txt includes attribution and license text, including the Apache-2.0 notice for the native FluidAudio pipeline. The…
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