# genpark-voice-pitch-yin-autocorrelation-skill

> genpark-voice-pitch-yin-autocorrelation-skill — alpha-park-genpark-voice-pitch-yin-autocorrelation-skill. Use this tool when you need to detect the fundamental frequency of an audio signal, solving problems in speech processing, music analysis, and voice recognition. It takes in audio data and outputs the estimated pitch, utilizing the YIN algorithm and cumulative mean normalized difference function for accurate results. Ideal for applications requiring precise voice pitch detection, such as speech-to-text systems or music information retrieval.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-voice-pitch-yin-autocorrelation-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-voice-pitch-yin-autocorrelation-skill

## Description

Fundamental frequency (F0) pitch detector utilizing the YIN algorithm and cumulative mean normalized difference function.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## 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/Alpha-Park/genpark-voice-pitch-yin-autocorrelation-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": "alpha-park-genpark-voice-pitch-yin-autocorrelation-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-voice-pitch-yin-autocorrelation-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-voice-pitch-yin-autocorrelation-skill/pull`

---
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
