# genpark-realtime-voice-accent-dialect-adapter-skill

> genpark-realtime-voice-accent-dialect-adapter-skill — alphaparkinc-genpark-realtime-voice-accent-dialect-adapter-skill. Use this tool when you need to normalize voice accents and adapt dialects in real-time, solving issues with speech recognition and audio streaming quality. It takes in audio streams and outputs enhanced, standardized audio, making it ideal for applications requiring clear and consistent voice communication. Use it in contexts where real-time voice processing is crucial, such as virtual assistants, voice-controlled systems, or live audio transmissions.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-realtime-voice-accent-dialect-adapter-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-realtime-voice-accent-dialect-adapter-skill

## Description

Real-time voice accent normalization, dialect adaptation & stream enhancer

## 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-voice-accent-dialect-adapter-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-voice-accent-dialect-adapter-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-realtime-voice-accent-dialect-adapter-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-realtime-voice-accent-dialect-adapter-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