Latency optimization scheme for ESP32S3:
hardware layer
- Processing Audio with the ESP-DSP Acceleration Library Built into the XIAO ESP32S3 Sense Development Board
- Increase the PSRAM configuration to 8MB by
cargo espflash flash --flash-size 8mbBurning Firmware
software layer
- exist
vosk_server.pyset up in--threads=2Enable multi-threaded parsing - Using Rust's
tokioAsynchronous runtime processing of network requests - Turn off non-essential logging output (modification)
log_level = warn)
Process Optimization
Using speech streaming recognition, when detectingwn9_hilexinImmediately establishes API long connection after wakeup word, reducing cold start time by about 300ms
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 Optimize Voice Interaction Latency Problems for Embedded Devices?
