Solution for MacOS LLM Controller Speech Recognition Inaccuracy
If you encounter inaccurate voice recognition, you can troubleshoot and optimize it by following the steps below:
- Check microphone privileges: First-time use requires authorization of microphone access in the system settings (Settings > Privacy & Security > Microphone).
- Optimizing the recording environment: To avoid interference from background noise, it is recommended to use it in a quiet environment and keep a distance of 20-30 cm from the microphone.
- Calibrated voice input: Pronunciation is clear and concise, e.g., say "open a terminal" rather than "can you start the terminal program for me".
- Switching Recognition Engines: If it continues to fail, the project configuration can be modified to change the backend engine of the SpeechRecognition API (e.g., switch to Google or Sphinx engine).
- Alternative Programs: short-term use of textual instructions instead and check
backend/logs/speech_errors.logGet specific error messages.
If the issue is still not resolved, it is recommended to submit the issue via GitHub with 1) system version information 2) sample recordings 3) complete console logs.
This answer comes from the articleOpen source tool to control macOS operations with voice and textThe
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