speaker-diarization
CommunityIdentify who speaks when in multi-speaker media.
Data & Analytics#transcripts#diarization#video-editing#audio-analysis#pyannote#speaker-identification#multispeaker
Authorakrindev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Identify who speaks when in multi-speaker media using pyannote-audio to assign speech segments to speakers and produce diarization data.
Core Features & Use Cases
- End-to-end speaker diarization for podcasts, interviews, panels, and conversations with overlapping speech.
- Output formats include JSON, RTTM, and SRT with per-speaker segmentation and duration data.
- Integration-ready for downstream tasks such as speaker-specific clip extraction, transcripts alignment, and video editing workflows.
Quick Start
Run speaker diarization on a video to generate per-speaker segments and a diarization result.
Dependency Matrix
Required Modules
pyannote.audiotorchtorchaudiospeechbrain
Components
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: speaker-diarization Download link: https://github.com/akrindev/trimer-clip/archive/main.zip#speaker-diarization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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