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Pyannote Audio Speaker Diarization Toolkit

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pyannote.audio is an open-source Python toolkit for speaker diarization built on PyTorch. It provides state-of-the-art pretrained models and pipelines for speech activity detection, speaker segmentation, overlapped speech detection, and speaker embedding.

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  • Added June 2, 2026
ai-agentspythongotestinggitapisecurity

Works with

  • api

Security analysis

A92/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

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Scanned June 2, 2026

npx -y skills add agentskillexchange/skills --skill pyannote-audio-speaker-diarization-toolkit --agent claude-code

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SKILL.md
---
name: "pyannote.audio Neural Speaker Diarization Toolkit"
slug: "pyannote-audio-speaker-diarization-toolkit"
description: "pyannote.audio is an open-source Python toolkit for speaker diarization built on PyTorch. It provides state-of-the-art pretrained models and pipelines for speech activity detection, speaker segmentation, overlapped speech detection, and speaker embedding."
github_stars: 9721
verification: "security_reviewed"
source: "https://github.com/pyannote/pyannote-audio"
category: "Media & Transcription"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "pyannote/pyannote-audio"
  github_stars: 9721
---

# pyannote.audio Neural Speaker Diarization Toolkit

pyannote.audio is an open-source Python toolkit for speaker diarization built on PyTorch. It provides state-of-the-art pretrained models and pipelines for speech activity detection, speaker segmentation, overlapped speech detection, and speaker embedding.

## Installation

Use the upstream install or setup path that matches your environment:
- pip install -e .[dev,testing]

Requirements and caveats from upstream:
- pyannote.audio is an open-source toolkit written in Python for speaker diarization. Based on [PyTorch](https://pytorch.org) machine learning framework, it comes with state-of-the-art [pretrained models and pipelines](...
- :snake: Python-first API
- python

Basic usage or getting-started notes:
- With the optional telemetry feature in pyannote.audio, you can choose to send anonymous usage metrics to help the pyannote team improve the library.

- Source: https://github.com/pyannote/pyannote-audio
- Extracted from upstream docs: https://raw.githubusercontent.com/pyannote/pyannote-audio/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/pyannote-audio-speaker-diarization-toolkit/)

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