MacroPad/voice-to-notes
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Phase 3: Speaker diarization and full transcription pipeline

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- Implement DiarizeService with pyannote.audio speaker detection
- Build PipelineService combining transcribe → diarize → merge with
  overlap-based speaker assignment per segment
- Add pipeline.start and diarize.start IPC handlers
- Add run_pipeline Tauri command for full pipeline execution
- Wire frontend to use pipeline: speakers auto-created with colors,
  segments assigned to detected speakers
- Build SpeakerManager with rename support (double-click or edit button)
- Add speaker color coding throughout transcript display
- Add pyannote.audio dependency
- Tests: 24 Python (including merge logic), 6 Rust, 0 Svelte errors

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Josh Knapp
2026-02-26 16:09:48 -08:00
parent 842f8d5f90
commit 44480906a4
12 changed files with 806 additions and 24 deletions
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python/pyproject.toml
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@@ -11,6 +11,7 @@ license = "MIT"
dependencies = [
"faster-whisper>=1.1.0",
"pyannote.audio>=3.1.0",
]
[project.optional-dependencies]