Improving the speech recognition accuracy of Vosk model can be done both in hardware and software:
- Hardware Optimization:Use high performance microphone and add voice coding hardware (e.g. WM8960 module) to ensure audio input quality. External SD card should be Class10 or above to ensure model loading speed.
- Model Upgrade:Set the default
vosk-model-cn-0.22Replacement with larger scalevosk-model-cn-0.22-largemodel, which improves the recognition rate in complex contexts by about 151 TP3T - Environmental control:Enable in code
nsnet2Noise Cancellation Module andvadnet1_mediumMute detection module, effective filtering of background noise - Pronunciation training:Simple training for users, maintaining a standard distance of 15-30cm, pronouncing words at a normal speech rate, avoiding swallowing words or dialect effects
This answer comes from the articleAI-Chatbox: Speech-to-Text Intelligent Dialogue Project based on ESP32S3The
May not be reproduced without permission:AI productivity tools " How to solve the problem of low recognition accuracy of Vosk model in ESP32S3 speech interaction project?
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