Turn Detection & Conversation Quality
Master the art of natural conversation
Deep dive into turn detection: VAD, endpointing, adaptive interruptions, and conversation quality tuning.
What You Build
Tuning workbench that A/B tests turn detection settings and measures conversation quality metrics.
Prerequisites
- →Course 1.1
Turn detection fundamentals
15mHow machines detect when humans stop talking — VAD, endpointing, and the challenge of natural conversation.
VAD configuration
20mConfigure Silero VAD: sensitivity thresholds, padding, prefix buffer, and silence detection.
Multilingual turn detection
20mUse the multilingual turn detector for natural conversations across languages.
Endpointing configuration
15mTune endpointing delays to balance responsiveness with interruption avoidance.
Adaptive interruption handling
20mConfigure adaptive interruption handling that recovers gracefully from false interruptions.
Backchanneling & natural flow
15mEnable backchanneling for natural acknowledgments without triggering turn switches.
A/B testing & quality metrics
15mBuild a tuning workbench to A/B test settings and measure conversation quality.
What You Walk Away With
Ability to tune turn detection for any use case, from fast-paced customer service to patient medical intake.