# genpark-realtime-audio-diarization-speaker-assigner-skill

> genpark-realtime-audio-diarization-speaker-assigner-skill — alphaparkinc-genpark-realtime-audio-diarization-speaker-assigner-skill. Use this tool when you need to accurately assign speakers to their respective audio segments in real-time multi-party conversations, solving problems of speaker identification and transcription clarity. It takes in audio transcripts and outputs labeled speaker assignments, enabling efficient analysis and processing of complex audio data. Ideal for applications requiring precise speaker diarization, such as meeting transcripts, podcasts, or interviews.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-realtime-audio-diarization-speaker-assigner-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-realtime-audio-diarization-speaker-assigner-skill

## Description

Realtime multi-party audio transcript diarization & speaker assigner (Deepgram)

## 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-realtime-audio-diarization-speaker-assigner-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-realtime-audio-diarization-speaker-assigner-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-realtime-audio-diarization-speaker-assigner-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-realtime-audio-diarization-speaker-assigner-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