Turn Detector

The Turn Detector decides when the caller has finished their turn, so the agent replies at the right moment rather than interrupting or pausing too long. It uses Echo, a server-hosted model exposed through the Zero Runtime Inference Gateway via the unified TurnDetector class. Nothing is downloaded or loaded on your machine; authentication requires ZRT_AUTH_TOKEN. Choose echo-small for the lowest latency or echo-large for higher accuracy.

Usage

Set your auth token, then construct TurnDetector with the echo-small or echo-large model and pass it to the pipeline’s turn_detector slot.

# Set ZRT_AUTH_TOKEN in your environment.

from zrt.plugins import TurnDetector

turn_detector = TurnDetector(model="echo-small")

# Pipeline(turn_detector=turn_detector, ...)

The turn detector pairs with voice activity detection: VAD finds that the caller is speaking, the turn detector decides when they have stopped.

What’s next

For the four-state classification, model comparison, supported languages, and end-of-utterance handling, see the full Turn Detection guide.

Anam Silero

Plugins

Inference Gateway

Speech-to-text

LLM

Text-to-speech

Realtime models

Avatars

Turn detection

Voice activity detection

Noise cancellation

Usage

What’s next

​Usage

​What’s next

Usage

What’s next