diarize
OfficialAccurately attribute speakers in call transcripts from shared audio
Software Engineering#audio transcription#voice attribution#transcript cleanup#Zoom call analysis#shared-mic scenario
Authorethereumclassic
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The Skill addresses the challenge of accurately attributing speaker labels in call transcripts, especially in scenarios where multiple voices are incorrectly merged into a single Zoom participant label due to shared mics or rooms.
Core Features & Use Cases
- Voice Attribution: Automatically determines who spoke when in a call where multiple voices are merged in the transcript.
- Transcript Splitting: Splits cues at speaker changes, ensuring individual voices are correctly identified and attributed.
- Use Case: A user can utilize this Skill to fix a transcript from a call where a group shared a Zoom connection, resulting in incorrect speaker labels for individual voices.
Quick Start
Run the diarize skill with the following command: diarize <recording> --vtt transcripts/<id>.vtt --call <id> --out transcripts/<id>.diarized.vtt
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: diarize Download link: https://github.com/ethereumclassic/community-calls/archive/main.zip#diarize Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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