Finding the ideal VAD (Voice Activity Detection) setting when using the turn detector really depends on what you’re aiming for and how you want the conversation to flow. I’d love to share some friendly recommendations to help you get started: • General Purpose: A great approach is to use both VAD and a turn detector model together. Try setting

min_silence_duration

to 0.55 seconds,

min_endpointing_delay

to 0.4 seconds, and

max_endpointing_delay

to 6.0 seconds. • Fast Interaction: If you want quicker responses, you might want to reduce

silence_duration_ms

to around 200-300 ms. Just a heads-up, this could lead to more interruptions. • Noisy Environments: In places with background noise, increasing the VAD threshold (say, to 0.6-0.7) can really help reduce false positives. • High Accuracy: For those moments when speakers hesitate, extending

max_endpointing_delay

to 8-10 seconds can make a big difference. • Simple Setup: If you prefer to keep things straightforward, using VAD-only with the default settings works well too. To create the most natural and smooth conversational flow, I’d recommend combining the Silero VAD plugin with a turn detector model. Please feel free to reach out if you’d like a hand setting this up—I’m here to help! Sources: Silero VAD plugin | LiveKit Docs | Silero VAD plugin | LiveKit Docs | How does end-of-utterance detection work in conversations? | Turn detection and interruptions | LiveKit Docs | Voice activity detection (VAD) parameters | LiveKit Docs