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Turn-Taking Endpoints

Turn-Taking Endpoints

Learn what Turn-Taking Endpoints are, how they power natural conversations in AI voice systems, and why smooth dialogue depends on managing “who speaks when.”

What are Turn-Taking Endpoints?

Turn-Taking Endpoints are the mechanisms that determine when a speaker (human or AI) has finished talking and it’s appropriate for the other party to begin speaking. In real conversations, humans naturally manage turn-taking using cues like pauses, intonation shifts, and body language.

In AI voice systems, where nonverbal cues are absent, turn-taking must be detected and managed precisely, or conversations break down.

Why are Turn-Taking Endpoints important for AI Voice Agents?

If an AI voice agent responds too early, it talks over users. If it waits too long, conversations feel sluggish or awkward. Proper turn-taking logic ensures that calls feel:

Natural and human-like, with no abrupt interruptions or strange silences

Efficient, moving quickly without awkward timing gaps

Respectful, allowing users to fully finish their thoughts

Resilient, handling overlaps, pauses, and corrections gracefully

Key Factors in Managing Turn-Taking:

Voice Activity Detection (VAD)

Detects when the user is speaking, pausing, or has finished.

Pause Duration Thresholds

Determines how long a silence must last before the AI concludes the user is done speaking.

Speech Patterns and Prosody Analysis

Recognizes rising intonation (e.g., questions) versus final statements.

Interruption Handling

If the user starts speaking while the AI is talking, the AI should detect it and hand the floor back gracefully.

Turn-Taking in action:

A customer calls a logistics company and says, “I need…uh, wait, one second…yeah, I need to change my delivery address.” Retell AI’s voice agent, using VAD and turn-taking endpoints, recognizes the hesitation and only responds after the full request is completed, ultimately avoiding cutting off the customer mid-thought.

Smooth turn-taking is invisible when done right, and glaringly obvious when done wrong. It’s the difference between a robotic exchange and a true, human-feeling conversation.

Learn how Retell AI uses advanced turn-taking detection to deliver faster, more natural, and more satisfying voice interactions.

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