Voice AI Latency: Why Sub-Second Responses Decide Whether Prospects Hang Up
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Voice AI latency is the gap between the moment a caller stops speaking and the moment the AI agent's reply becomes audible. Human conversation sets a demanding baseline: across ten languages, the most common turn-to-turn gap was 0 ms and the cross-language mean was about +208 ms (Stivers et al., PNAS, 2009). Listener research on simulated phone calls found that perceived willingness What this covers Why milliseconds decide sales calls The human baseline: how fast people actually take turns…
1Key Takeaways
- Voice AI latency is the gap between the moment a caller stops speaking and the moment the AI agent's reply becomes audible.
- Human conversation sets a demanding baseline: across ten languages, the most common turn-to-turn gap was 0 ms and the cross-language mean was about +208 ms (Stivers et al., PNAS, 2009).
- Listener research on simulated phone calls found that perceived willingness What this covers Why milliseconds decide sales calls The human baseline: how fast people actually take turns….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that voice AI latency is the gap between the moment a caller stops speaking and the moment the AI agent's reply becomes audible.
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