# salute-speech

> Use this tool when you need to transcribe audio files into text format, solving problems such as converting voice recordings or podcasts into readable content. It takes audio files as input and outputs transcribed text using the Sber Salute Speech async API. Ideal for use cases where automated speech-to-text conversion is required, such as data analysis or content creation.

Canonical page: https://skillsregistry.net/skills/chorus12-salute-speech  
JSON: https://api.skillsregistry.net/v1/skills/chorus12-salute-speech

## Description

Transcribe audio files using Sber Salute Speech async API.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/chorus12-salute-speech)

## 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": "chorus12-salute-speech"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chorus12-salute-speech` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chorus12-salute-speech/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