livekit-turn-detection

Voice Activity Detection in LiveKit is configured by setting turn detection modes like server_vad or turn_detector, dynamically detecting speech start and end to ensure natural conversational flow and reduce awkward silences.

Yes, interruption handling is fully customizable, allowing users to interrupt voice AI agents seamlessly. This defines how interruptions are managed, enabling efficient problem-solving in conversational flows like customer service chatbots.

LiveKit supports multiple turn detection modes including server_vad, turn_detector, and STT endpointing. These modes utilize VAD and ML models to intelligently manage when a user or agent is speaking.

VAD optimizes turn detection by dynamically identifying speech start and end points using ML models. This intelligent turn management ensures the agent responds naturally without overlapping user speech or causing delays.

Yes, livekit-plugins-silero is a required dependency for this turn detection setup, alongside livekit-plugins-turn-detector and livekit-agents, to properly configure VAD and manage conversational flow.

Awkward silences often occur when turn detection and VAD settings are not optimized. Configuring detailed VAD and interruption settings with appropriate turn detection modes resolves these conversational flow issues.