Glossary
What is turn-taking in conversational AI?
Definition
Turn-taking is the process of managing when each party speaks and listens during a conversation. In conversational AI, it means detecting when a caller has finished so the system can respond at the right moment. Good turn-taking makes spoken interactions feel smooth and natural.
01How turn-taking works
The system uses signals such as pauses, intonation, and the content of what was said to decide whether the caller is finished or just pausing mid-thought. This end-of-turn detection, sometimes called endpointing, determines when to stop listening and start responding. Combining acoustic timing with language understanding produces better judgments than silence alone.
02Turn-taking in voice AI
On a phone call, poor turn-taking leads to the system either interrupting the caller or leaving awkward silences. Effective turn-taking coordinates with barge-in, so the caller can interject, and with low latency, so replies come quickly. Together these make an AI conversation feel closer to talking with a person.
03Challenges
People pause naturally, use filler words, and think aloud, which can be mistaken for the end of a turn. Cutting in too early frustrates callers, while waiting too long feels unresponsive. Systems tune timing thresholds and use context to strike the right balance across different speakers and situations.
Frequently asked questions
What is endpointing?
Endpointing is detecting when a speaker has finished their turn so the system knows to stop listening and respond. It is a core part of turn-taking in voice AI.
Why does turn-taking matter in voice AI?
It determines whether the system interrupts the caller or leaves awkward pauses. Good turn-taking, along with low latency and barge-in, makes conversations feel natural.
See also
Related terms
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