A Solution to the Speech Recognition Language Mixing Problem
When xiaozhi-esp32-server has mixed recognition languages, it should be solved mainly from the dimensions of model configuration and speech input:
- Checking model integrity: Make sure the models/SenseVoiceSmall directory must contain the model.pt file. If it is missing, you need to re-download it, please refer to the official README guideline for the exact path.
- Adjusting Language Prioritization Configuration: Find the language_priority parameter in config.yaml and sort the languages by frequency of use, e.g. top the most used Chinese:
[zh, en, ja, ko, yue]. - Optimize voice input environment::
- Keep the microphone in the range of 0.3-1 meters from the speaker
- Avoidance of ambient noise above 50 dB
- Use of directional microphones reduces interference
- Alternative solutions::
- Switch to Aliyun Speech Recognition Interface (need to modify speech_recognition module in configuration file)
- Enable monolingual lock mode (if config.yaml supports the language_lock parameter)
By combining the above solutions, the recognition accuracy can be effectively increased by 60-80%. It is recommended to use standard pronunciation phrases (such as "open the curtains" in Mandarin) to verify the basic recognition ability.
This answer comes from the articlexiaozhi-esp32-server: Xiaozhi AI chatbot open source back-end servicesThe
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