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.

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

Method 1, Agent Skill Exchange

Method 2, Git clone

git clone https://github.com/agentskillexchange/skills.git && cd skills/skills/whisper-diarization-post-processor

Method 3, Download ZIP

  • Download the repository ZIP and extract skills/whisper-diarization-post-processor.

Method 4, Manual copy

  • Copy this skill folder into your local skills directory, then reload your agent tooling.

Method 5, Fork and sync

  • Fork the repository if you want to maintain local edits while syncing upstream changes.

Source