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whisper-stt

Integrate OpenAI Whisper STT for voice recognition and ROS2 command processing.

Updated May 21, 2026
Search Tags:#openai#voice recognition#robotics#ROS2#STT
One-click install
npx skills add https://github.com/KAIROS7-team3/Final_project --skill whisper-stt-kairos7-team3
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: whisper-stt
Source: https://github.com/KAIROS7-team3/Final_project/tree/main/.claude/skills/whisper-stt
Command: npx skills add https://github.com/KAIROS7-team3/Final_project --skill whisper-stt-kairos7-team3

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai-whisper, silero-vad, pyaudio, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill integrates OpenAI Whisper STT into your system, providing accurate voice recognition and control, streamlining voice-based interactions and automating tasks.

Core Features & Use Cases

  • Voice Recognition: Accurately transcribe spoken words into text.
  • Voice Command Processing: Execute commands based on voice input.
  • Integration with ROS2: Seamlessly integrate with ROS2 systems for real-time voice control of robotic arms and other applications.

Quick Start

Install the whisper-stt skill and use it to transcribe voice input from a microphone.

Frequently Asked Questions about whisper-stt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate OpenAI Whisper for real-time voice recognition in a ROS2 environment?▼

Yes, you can use OpenAI Whisper to control robotic arms in ROS2. This Skill captures real-time voice input via pyaudio, accurately transcribes spoken words, and processes them into executable commands for robotic applications.

Can I use OpenAI Whisper to control robotic arms via voice commands in ROS2?▼

Yes, you can use OpenAI Whisper to control robotic arms in ROS2. This Skill captures real-time voice input via pyaudio, accurately transcribes spoken words, and processes them into executable commands for robotic applications.

Do I need silero-vad and pyaudio to process voice input with Whisper STT?▼

Yes, you need silero-vad and pyaudio alongside openai-whisper to process voice input. Silero-vad handles voice activity detection, while pyaudio captures the real-time microphone audio stream required for accurate transcription.

How does voice activity detection work with OpenAI Whisper transcription?▼

Voice activity detection with OpenAI Whisper transcription works by using silero-vad to identify speech segments in the audio stream. Pyaudio captures the input, and only detected speech is sent to Whisper for accurate text transcription.

What is the best way to execute robotic control commands from voice input using ROS2?▼

The best way to execute robotic control commands from voice input using ROS2 is to capture audio with pyaudio, detect speech with silero-vad, and transcribe it via Whisper STT. This Skill automates that pipeline to trigger real-time robotic actions.

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