Hey there! That warning

inference is slower than realtime

means the Silero VAD plugin is taking a bit longer to process than expected, which might cause some delay. No worries though, here are some friendly tips to help you speed things up: 1. Optimize VAD Configuration: ◦ Try setting

force_cpu

to

True

when initializing VAD if you don’t have a GPU handy—this helps keep CPU inference steady. ◦ Play around with settings like

max_buffered_speech

to shrink the buffer size and lighten the processing load. 1. Boost Your System Resources: ◦ Make sure you have enough CPU cores available, and think about turning on multi-threading for ONNX sessions to spread the work. ◦ If your CPU isn’t working hard enough, tweaking inter-op threads might give it a little nudge. 1. Try Some Alternatives: ◦ Pre-warming the VAD model before you start processing audio can really help speed things along. ◦ Also, keep an eye out for plugin updates—they often come with performance boosts! Give these a shot, and you should see less delay and smoother performance from the plugin. If you need a hand with any of this, just let me know—I’m here to help! Sources: livekit-plugins/livekit-plugins-silero/livekit/plugins/silero/py.typed | README.md