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ElevenLabs details turn-taking AI capabilities in ElevenAgents

See how ElevenLabs uses voice activity detection, intent analysis, and adaptive timing for natural conversational AI flow in ElevenAgents.

ElevenLabs guide: transcribing interviews with Scribe v2 AI speech to text — image from ElevenLabs
Image: ElevenLabs

Summary

ElevenLabs published a guide explaining how conversational AI models manage turn-taking using voice activity detection and semantic analysis. The article outlines how ElevenAgents maintains natural back-and-forth rhythms, handles overlaps, and minimizes latency.

What changed

  • ElevenLabs detailed how ElevenAgents uses adaptive timing, voice activity detection, and semantic analysis to manage conversational turn-taking.
  • Agents using Eleven v4 Turbo with ElevenAgents achieve a median time from request to audible speech of 142 ms.
  • ElevenAgents sends a kill signal in under 200 ms when a caller interrupts, stopping the agent mid-phrase.
  • Teams can configure turn eagerness levels, silence timeouts, soft timeouts, and skip-turn tools in ElevenAgents settings.

Availability

Available now

“Explore our ElevenAgents turn detection documentation to configure natural conversational turn-taking on your customer support team or sign up to get started.”

Founder takeaway

Review your conversational AI turn detection settings and adjust eagerness and timeouts based on interruption rates and response latency metrics.

Source

ElevenLabsWhat is turn taking in conversational AI? A user guide

Announced Checked

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