AUTOMATION
On-Device Meeting Transcription with Speaker Identification
Real-time meeting notes with 97% accurate speaker diarization
Updated: 6/6/2026
Difficulty
hard
Time
7 months
Use Case
Automated meeting documentation with accurate speaker attribution and real-time talking points
Popularity
0 views
About this automation
MimicScribe uses Pyannote community-1 for speaker diarization with grammar-cued masking from Parakeet STT to achieve 97% accuracy. System generates real-time talking points for discovery calls and supports voice-driven corrections. Fully on-device for privacy.
How to implement
1
Port Pyannote community-1 model for on-device inference
2
Implement grammar structure masking using Parakeet STT output
3
Build cluster assignment with secondary sampling within masked regions
4
Create LLM prompt tuned for discovery call talking points
5
Implement voice command interface for post-meeting corrections
6
Add keyboard shortcut recording control and overlay UI