Solutions for Improving Speech Recognition Accuracy
When using TankWork for voice control, if you encounter problems with recognition accuracy, you can optimize the following key steps:
- Environmental optimization:Ensure that you use it in a quiet environment to avoid interference from background noise. If noise cannot be avoided, use a microphone with a noise-canceling function
- API Configuration:Check the settings of the ELEVENLABS_API_KEY and MODEL parameters in the .env file (e.g., ELEVENLABS_MODEL=eleven_flash_v2_5) to ensure that you are using the latest version of the speech model
- Voice training:Training of speech samples through the ElevenLabs platform to better adapt the system to the user's pronunciation characteristics
- Command normalization:Try to use simple, standardized commands such as "open the browser" rather than "can you open the browser for me".
- Feedback mechanisms:Use TankWork's real-time logging feature (LOG_LEVEL=INFO) to check recognition results and adjust for high-frequency error commands
If the problem persists, try switching voice model providers or adding a post-speech-recognition confirmation link to the code to ensure that commands are executed accurately.
This answer comes from the articleTankWork: an intelligent body that operates computers via voice and text and provides real-time voice feedbackThe
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