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vad=silero.VAD.load(), _turn_detection_=En...
# ask-ai
r
vad=silero.VAD.load(), _turn_detection_=EnglishModel(), this interrupts too much over the user
t
Thanks for reaching out, Weilan. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To reduce interruptions caused by Silero VAD and the EnglishModel turn detection, you can adjust configurations and combine the models effectively: • Combine Turn Detection with VAD: Use the EnglishModel turn detector alongside Silero VAD. This reduces interruptions by dynamically adjusting the silence timeout based on conversational context. Example implementation:
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from livekit.plugins.turn_detector.english import EnglishModel
from livekit.plugins import silero

session = AgentSession(
    vad=silero.VAD.load(),
    turn_detection=EnglishModel(),
    # ... other configurations
)
• Adjust VAD Parameters: ◦ minSilenceDuration: Increase this value (default: 250ms) to make the system wait longer before considering a turn complete. ◦ activationThreshold: Adjust this to balance sensitivity (default: 0.5). Higher values reduce false positives but may miss soft speech. ◦ minSpeechDuration: Increase this (default: 50ms) to avoid detecting short noises as speech. • Configure Interruption Settings: ◦ interruptSpeechDuration: Set a higher minimum speech duration to consider interruptions intentional (default: 50ms). ◦ interruptMinWords: Increase the minimum number of transcribed words required for an interruption to be intentional (default: 0). These adjustments should help reduce interruptions while maintaining a natural conversation flow. Sources: Improving voice AI's turn detection with transformers | Turn detection and interruptions | LiveKit Docs | Configuring turn detection and interruptions | LiveKit Docs
r
session = AgentSession( stt=deepgram.STT(model="nova-3-general", language="en-US"), llm=openai.LLM(model=_ai_intake_config_.get("llm_model") or "gpt-4o"), tts=cartesia.TTS( model=_ai_intake_config_.get("tts_model") or "sonic", voice=_ai_intake_config_.get("ai_voice", VOICE), language="en", ), vad=silero.VAD.load(), _turn_detection_=EnglishModel(), I already have this but it still interupts too much
t
Hey there! 👋 Let me share some friendly tips to help you reduce interruptions in your AgentSession setup. Think of these as little tweaks that can make your conversations smoother and more natural. • Increase Minimum Interruption Duration: Want fewer accidental interruptions? Try setting a slightly longer speech duration before something counts as an interruption. Here's how:
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session = AgentSession(
    min_interruption_duration=1.0,  # Increase from default 0.5s
    # ... other parameters
)
• Require More Words for Interruption: This is like setting a gentle "pause and think" threshold. Just add a minimum word count:
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session = AgentSession(
    min_interruption_words=3,  # Require at least 3 words (default is 0)
    # ... other parameters
)
• Adjust Endpointing Delays: Give conversations a bit more breathing room by increasing the delay before considering a turn complete:
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session = AgentSession(
    min_endpointing_delay=1.0,  # Increase from default 0.5s
    max_endpointing_delay=8.0,  # Increase from default 6.0s
    # ... other parameters
)
• Disable Interruptions Completely: Sometimes you just need uninterrupted focus. No problem!
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session = AgentSession(
    allow_interruptions=False,
    # ... other parameters
)
• Use STT-Based Turn Detection: Leverage some smart tech to make turn-taking feel more natural:
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session = AgentSession(
    turn_detection="stt",
    stt=deepgram.STT(),
    vad=silero.VAD.load(),
    # ... other components
)
• Selective Interruption Control: Want to keep things flowing smoothly? You can even control interruptions for specific responses: 
await session.say("Important message", allow_interruptions=False)
These little adjustments can make your conversations feel more natural and less choppy. Hope this helps! 😊 Let me know if you have any questions. Sources: examples/voice_agents/session_close_callback.py | Turn detection and interruptions | LiveKit Docs | pipeline-llm/interrupt_user.py
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