Endpointing
The voice-AI problem of detecting when the human caller has finished speaking so the AI can respond — without cutting them off.
The voice-AI problem of detecting when the human caller has finished speaking so the AI can respond — without cutting them off.
Bad endpointing is the #1 reason AI calls feel "robotic." If the threshold is too short, the AI interrupts mid-sentence; too long and there are awkward pauses. Modern voice AI uses smart endpointing models that consider sentence completion (ending in punctuation), pace, and breath. RingDesk uses Deepgram Nova-3 with custom thresholds tuned per call flow.
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Same cluster, often confused, or referenced together in customer conversations.
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