how to increase the VAD timing. need to wait for e...
# ask-ai
l
how to increase the VAD timing. need to wait for extra 30 seconds to process user input
✅ 1
t
Thanks for reaching out, Rajadurai. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — you're asking how to increase VAD timing so the system will wait an extra 30 seconds before processing user input. Short answer: you can increase endpointing delays, but LiveKit’s turn-detection is optimized for short delays and its built-in max endpointing is limited (typically up to ~6s). Setting a 30s VAD/endpoint timeout is not supported and will hurt conversational responsiveness. Instead, detect the end of the user’s turn normally, then perform any longer processing as a post-turn task. What you can do now: • Increase endpointing delays (Python example):
Copy code
from livekit.agents import TurnHandlingOptions, AgentSession

session = AgentSession(
    turn_handling=TurnHandlingOptions(
        endpointing={
            "min_delay": 0.5,
            "max_delay": 6.0,  # can extend up to LiveKit's max (≈6s)
        },
    ),
    # stt, vad, llm, tts...
)
• Or Node.js (milliseconds):
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const session = new voice.AgentSession({
  turnHandling: {
    endpointing: { min_delay: 500, max_delay: 6000 }
  }
});
• If you need to wait 30 seconds after the user finishes speaking, keep endpointing short (normal VAD), then in your agent logic start a non-blocking wait/post-processing task (e.g.,
await asyncio.sleep(30)
or a background job) once the turn is finalized. If you’d like, tell me: • Which SDK you're using (Python or Node.js), and • Whether you want the system to wait before ending the turn or to perform a long task after the turn ends. I’ll give the exact code/snippet for your setup. Sources: Using a transformer to improve end of turn detection | LiveKit | Silero VAD plugin | LiveKit Documentation | LiveKit turn detector plugin | LiveKit Documentation, with interactive elements
l
does it transcribe a sentence with 2s delay between each words?
t
You're asking whether the system will transcribe a sentence if there are 2-second pauses between words. Short answer: No — a 2‑second pause will typically be treated as the end of a turn and produce separate utterances. LiveKit’s VAD/end‑of‑turn defaults treat silence > ~0.55s as end‑of‑speech, and endpointing max delays are normally limited to around 6s. That means long pauses like 2s will split the sentence. Options you can use: • Increase
min_silence_duration
(Silero VAD) to tolerate longer pauses. • Raise endpointing
max_delay
(up to LiveKit’s limit ≈6s) so the system waits longer before ending the turn. • Keep normal VAD and, after each detected turn, reassemble successive short turns in your application if you expect spaced words. Tell me which SDK you use (Python or Node.js) and whether you want the system to (A) avoid splitting on 2s pauses, or (B) accept splitting and merge transcriptions afterward — I’ll give the exact code/snippet. , with interactive elements