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BytesAgain › Skills › Voice Recognition
🦀 ClawHub

Voice Recognition

by @gykdly

Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.

Versionv1.0.0
Downloads2,329
Installs9
Stars⭐ 3
#audio#translation#legal
TERMINAL
clawhub install voice-recognition

📖 About This Skill

name: voice-recognition description: Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization. version: 1.0.0

Voice Recognition (Whisper)

Local speech-to-text with OpenAI Whisper CLI.

Features

  • Local processing - No API key needed, free
  • Multi-language - Chinese, English, 100+ languages
  • Translation - Translate to English
  • Summarization - Generate quick summary

    • Usage

    Basic

    # Chinese recognition
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a
    Force Chinese
    
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --zh
    English recognition  
    
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --en
    Translate to English
    
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --translate
    With summary
    
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --summarize

    Quick Command (add to ~/.zshrc)

    alias voice="python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py"

    Then use:

    voice ~/Downloads/audio.m4a --zh

    Requirements

  • OpenAI Whisper CLI: brew install openai-whisper
  • Python 3.10+

    • Files

  • scripts/voice识别_升级版.py - Main script
  • scripts/voice_tool_README.md - Documentation

    • Supported Formats

  • MP3, M4A, WAV, OGG, FLAC, WebM

    • Language Support

    100+ languages including:

  • Chinese (zh)
  • English (en)
  • Japanese (ja)
  • Korean (ko)
  • And more...

    • Notes

  • Default model: medium (balance of speed and accuracy)
  • First run downloads model to ~/.cache/whisper
  • Processing time varies by audio length and model size

    • 💡 Examples

    Basic

    # Chinese recognition
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a
    Force Chinese
    
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --zh
    English recognition  
    
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --en
    Translate to English
    
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --translate
    With summary
    
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --summarize

    Quick Command (add to ~/.zshrc)

    alias voice="python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py"

    Then use:

    voice ~/Downloads/audio.m4a --zh

    📋 Tips & Best Practices

  • Default model: medium (balance of speed and accuracy)
  • First run downloads model to ~/.cache/whisper
  • Processing time varies by audio length and model size