What’s a good min_endpointing_delay for non-teleph...
# ask-ai
m
What’s a good min_endpointing_delay for non-telephony based systems that people like using?
t
Thanks for reaching out, Alexander. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
You're asking for a recommended
min_endpointing_delay
for non-telephony systems. Recommended value: 0.5 seconds (500 ms). Why: it balances responsiveness and natural conversation flow when using VAD-only setups (like Silero VAD). Lower than 500 ms risks premature cutoffs; higher makes the agent feel slow. Tip: for even fewer interruptions, pair this with the
livekit-plugins-turn-detector
(transformer-based turn detector) — it uses semantic cues to extend endpointing when needed while keeping
min_endpointing_delay
as a baseline. Would you like guidance on tuning this for faster responses or fewer false endpoints? Sources: examples/frontdesk | livekit/livekit_composite | DeepWiki | How does end-of-utterance detection work in conversations? | examples/voice_agents | livekit/livekit_composite | DeepWiki | Improving voice AI's turn detection with transformers | LiveKit turn detector plugin | LiveKit docs
m
and what about min_silence_duration?
t
You're asking for a recommended min_silence_duration for non-telephony systems. Recommended value: 0.55 seconds (550 ms) — the Silero VAD default and a reliable baseline. Tuning guidance: • 0.3–0.5s — more responsive, higher risk of prematurely ending turns. • 0.7–1.2s — fewer false endpoints, feels slower. • In noisy or fast-speaker environments, try 0.4–0.5s. • For best results, keep
min_silence_duration
around 0.55s and combine it with the
livekit-plugins-turn-detector
(transformer-based) to reduce interruptions while allowing shorter silence thresholds. Would you like a suggested test plan or sample values to A/B test in your app? Sources: How does end-of-utterance detection work in conversations? | Silero VAD plugin | LiveKit docs | Agents Framework | livekit/livekit_composite | DeepWiki | Agents (Python) | livekit/livekit_composite | DeepWiki | Improving voice AI's turn detection with transformers