# genpark-audio-speech-emotion-sentiment-analyzer-skill

> genpark-audio-speech-emotion-sentiment-analyzer-skill — alphaparkinc-genpark-audio-speech-emotion-sentiment-analyzer-skill. Use this tool when you need to analyze audio speech for emotional cues and sentiment, solving problems such as customer service feedback analysis or mental health monitoring. It takes audio files as input and outputs emotion and sentiment scores, providing valuable insights into vocal tone and emotional state. Ideal for use cases where voice-based emotional intelligence is crucial, such as call center analytics or voice assistant development.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-audio-speech-emotion-sentiment-analyzer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-audio-speech-emotion-sentiment-analyzer-skill

## Description

Audio speech emotion & vocal tone sentiment analyzer

## 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-audio-speech-emotion-sentiment-analyzer-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-audio-speech-emotion-sentiment-analyzer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-audio-speech-emotion-sentiment-analyzer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-audio-speech-emotion-sentiment-analyzer-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