AI Briefing#turn-taking
The latest AI and developer news about #turn-taking, with the original source and a short summary.
The latest AI and developer news about #turn-taking, with the original source and a short summary.
The guide details how ElevenAgents uses semantic analysis and adaptive timing to manage interruptions and maintain natural dialogue flow.
The hybrid approach uses three tiny MLPs on a frozen Gemma 4 backbone to decide whether to speak, defer, or wait, achieving up to 99.0% start-turn accuracy on local benchmarks.
Researchers have released 'Turnbench', a turn-taking evaluation benchmark by dialogue type featuring 30 hours of high-quality data and a standardized evaluation protocol.
It covers the architecture and technical considerations for integrating a natural voice interface into existing text-based chatbots.
ElevenLabs has unveiled models and features for real-time voice interaction.