What is turn-taking?
Turn-taking refers to how participants in a conversation manage when each person speaks and listens, avoiding overlaps and awkward pauses. In voice AI, it's the difference between a voice agent that interrupts the user and one that feels like a natural conversation partner.
What is an example of turn-taking?
In a voice assistant, detecting when the user has finished speaking is essential for natural dialogue flow.
How does turn-taking work?
It relies on a combination of voice activity detection (VAD), timing cues, and linguistic or prosodic markers - like falling intonation at the end of a sentence, or filler words that signal someone isn't done yet. Modern voice agents combine these signals with endpointing models to decide when to take their turn.
How does ai-coustics help turn-taking?
At ai-coustics, our real-time stack improves turn-taking reliability in two ways. The Quail family cleans incoming audio so downstream VAD and endpointing models aren't confused by background noise, cross-talk, or reverb. And Quail VAD, our dedicated voice activity detection model, runs natively inside the pipeline to identify speech boundaries with low latency.
