Agora adds TEN VAD and Turn Detection for voice agents
Agora highlights its TEN VAD (Voice Activity Detection) and Turn Detection models, designed to make AI voice agents feel more natural. These models facilitate natural speech flow and context-aware pauses for real-time interaction in AI voice agents.
Key Takeaways
- Agora’s TEN VAD model is built for voice activity detection in AI voice agents.
- Turn Detection is aimed at timing natural pauses and turn-taking in real-time speech.
- Both models are described as tools to make AI voice agents feel more human.
- Agora frames the update around natural speech flow and context-aware pauses.
Why It Matters
Agora is targeting one of the most visible friction points in voice AI: timing. TEN VAD and Turn Detection are meant to help agents handle natural pauses and turn-taking during live conversation, which directly affects how human the interaction feels. For the streaming and video stack, that matters because conversational interfaces are becoming part of real-time media workflows, not just standalone apps. The key signal to watch is how Agora positions TEN VAD and Turn Detection in future product releases or demos, since this post only describes the models and their intended interaction behavior.
Read full article at prod.agora.io
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