---
title: "Whisper Diarization Post-Processor"
description: "Enhances OpenAI Whisper transcription output with speaker diarization using pyannote.audio pipeline and speechbrain embeddings. Aligns word-level timestamps from whisper-timestamped with speaker segments for multi-speaker meeting transcript generation."
verification: "security_reviewed"
source: "https://github.com/openai/whisper"
category:
  - "Media & Transcription"
framework:
  - "Claude Code"
tool_ecosystem:
  github_repo: "openai/whisper"
  github_stars: 97775
---

# Whisper Diarization Post-Processor

Enhances OpenAI Whisper transcription output with speaker diarization using pyannote.audio pipeline and speechbrain embeddings. Aligns word-level timestamps from whisper-timestamped with speaker segments for multi-speaker meeting transcript generation.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/whisper-diarization-post-processor/)