akouo — speaker diarization (Core ML)
Core ML speaker segmentation and embedding models, used by akouo for iOS to work out who spoke when — entirely on device.
This is a mirror, hosted so the app does not depend on a third-party repository at runtime. The weights are unmodified.
Provenance
- Converted to Core ML by Argmax, from argmaxinc/speakerkit-coreml.
- Derived from pyannote speaker models.
- Runs via SpeakerKit, part of WhisperKit (MIT).
Licence — attribution required
CC-BY-4.0.
The upstream pyannote models carry mixed terms: pyannote/segmentation-3.0 is MIT, while
pyannote/wespeaker-voxceleb-resnet34-LM and pyannote/speaker-diarization-community-1 are
CC-BY-4.0. Where bundled components differ, the most restrictive governs — so CC-BY-4.0 applies to
this repository as a whole.
If you redistribute these weights or ship them inside an application, you must credit pyannote visibly. This is a condition of the licence, not a courtesy.
Argmax does not declare a licence on the source repository. The licence stated here is a good-faith reading of what these weights derive from, not a grant by tinypocket.
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