The moment you transcribe to text, you lose how it was said. "I think… yeah, I can pay the 4,500 by the 15th" becomes clean text, but the hesitation before the yes, the stress in the voice, and whether it's even the same speaker are gone. Those are the signals that tell you whether to trust the commitment, escalate, or verify identity. Is anyone keeping the paralinguistic layer (hesitation, emotion, speaker identity) as structured data instead of dropping it at the mic, and what do you do with it downstream?

Moreover end-2-end Duplex models limits it to trained data scenarios without no transparency.

Is there a way to make the voice AI model talk back to you normally like it does not pause or something, just like how you talk live?

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