# Speech Interface (Faster Whisper)

> Use this tool when you need to enable voice interaction for AI assistants, providing speech-to-text and text-to-speech functionality for natural language voice interfaces. It solves problems in applications requiring efficient speech recognition and audio processing, such as voice-controlled devices or virtual assistants. The tool takes in audio input and outputs transcribed text, and can be used in contexts where hands-free or voice-based interaction is necessary.

Canonical page: https://skillsregistry.net/skills/kvadratni-speech-faster-whisper  
JSON: https://api.skillsregistry.net/v1/skills/kvadratni-speech-faster-whisper

## Description

This MCP server implementation provides voice interaction capabilities for AI assistants, enabling speech-to-text and text-to-speech functionality. It uses faster-whisper for improved speech recognition performance and integrates with PyAudio for audio processing. The server offers a simplified API for starting conversations and replying to user input, making it suitable for applications requiring natural language voice interfaces with AI models.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kvadratni-speech-faster-whisper)
- **Repository:** <https://github.com/kvadratni/speech-mcp>

## 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": "kvadratni-speech-faster-whisper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kvadratni-speech-faster-whisper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kvadratni-speech-faster-whisper/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