diarization
OfficialAutomate audio stream speaker identification for efficient transcription.
Authorframerslab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the identification and tracking of individual speakers in audio streams, making it easier to analyze and transcribe conversations.
Core Features & Use Cases
- Speaker Identification: Recognizes and labels individual speakers in multi-speaker audio streams.
- Transcription Support: Supports accurate transcription by enabling differentiation between speakers.
- Use Case: Ideal for automated transcription of meetings, interviews, and other multi-speaker dialogues.
Quick Start
Apply diarization to an audio file 'meeting-discussion.mp3' and transcribe it automatically with speaker labels.
Dependency Matrix
Required Modules
deepgramspectral-centroid
Components
scriptsassets
💻 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: diarization Download link: https://github.com/framerslab/agentos-skills/archive/main.zip#diarization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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