Technical Solutions for Enhancing Robustness in Weak Networks
For scenarios with unstable network connectivity, the following combined strategies can optimize the voice interaction experience:
- Protocol Layer Optimization:Modify the WebSocket connection strategy in
lib/services/websocket_handler.dartCenter:- Set the heartbeat packet interval from the default 30 seconds to 10 seconds.
pingInterval(Parameters) - Enable automatic reconnection mechanism
reconnectPolicySet the maximum retry count to 5 times. - Add local audio cache (using
hiveCache the last 3 voice recordings
- Set the heartbeat packet interval from the default 30 seconds to 10 seconds.
- Backup Transmission Mode:Enable the option in settings to automatically switch to segmented transmission mode when network latency exceeds 500ms. This will split long voice clips into multiple 2-second segments for HTTP transmission.
- Offline Fallback Solution:Integrate a lightweight local ASR engine (e.g., PocketSphinx). When three consecutive connection failures occur, fall back to basic commands (requires configuration in
pubspec.yamlincreasespeech_to_textplugin).
During actual deployment, it is recommended to use tools such as Network Link Conditioner to simulate 2G/high-latency networks for testing. For enterprise users, consider deploying edge computing nodes on the Xiaozhi server to reduce network hops.
This answer comes from the articleXiaozhi MCP Client: a cross-platform AI assistant supporting voice and text interactionThe
May not be reproduced without permission:AI productivity tools " How to improve the voice interaction stability of Xiaozhi client in a weak network environment?
