# genpark-neural-voiceprint-speaker-diarization-engine-skill

> genpark-neural-voiceprint-speaker-diarization-engine-skill — alphaparkinc-genpark-neural-voiceprint-speaker-diarization-engine-skill. Use this tool when you need to identify and separate speakers in audio recordings, solving problems like speaker overlap and diarization. It takes audio files as input and outputs labeled speaker segments, enabling accurate transcription and analysis. Ideal for use cases like podcast editing, meeting transcription, and forensic audio analysis.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-neural-voiceprint-speaker-diarization-engine-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-voiceprint-speaker-diarization-engine-skill

## Description

Neural voiceprint speaker diarization & overlap resolver (PyAnnote style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-neural-voiceprint-speaker-diarization-engine-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-neural-voiceprint-speaker-diarization-engine-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-voiceprint-speaker-diarization-engine-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-voiceprint-speaker-diarization-engine-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt