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Real-Time Voice AI Stack for Agents: Architecture Guide

Deepgram Learn ·

A technical architecture guide describing real-time voice AI latency requirements for production voice agents, citing thresholds for perceived interaction quality, tradeoffs in endpointing design, and service-level objectives based on user studies and caller feedback. Lies 3 Standpunkte mit Belegen und Links zu den Originalquellen.

Jose Nicholas Francisco
Kernaussagen lesenHerausgeber öffnen (wird in einem neuen Tab geöffnet)

Auf einen Blick

  • One-second turn deadline

    A production voice agent must begin speaking within about one second of the user's utterance ending, or the exchange feels broken.

    Unterstützendes Moment lesen · Absatz 1

  • 600–800 ms perceived willingness drop

    Perceived willingness to continue the interaction begins to decline after 600 ms and drops significantly between 700 and 800 ms.

    Unterstützendes Moment lesen · Absatz 2

  • P95 under 1,000 ms target

    A realistic production per-turn latency target is P95 under approximately 1,000 ms; beyond a couple of seconds, callers begin to disengage, and percentile-based SLOs—not averages—should be used and calibrated against user studies and real caller feedback.

    Unterstützendes Moment lesen · Absatz 97

Wichtige Passagen3

Zugeordnete Passagen mit dem Kontext zur Überprüfung. Öffnen Sie den Originaltext, um die Quelle zu prüfen.

Absatz 97 (wird in einem neuen Tab geöffnet)
production latency SLOs

P95 under 1,000 ms target

Originalauszug

Target a P95 turn latency under about 1,000 ms, and treat anything beyond a couple of seconds as the point where callers start to disengage. Set percentile SLOs, not averages, and calibrate against user-study research like this IEEE study on perceived response delay in voice interfaces, then confirm the specific thresholds against your own caller feedback.
Jose Nicholas Francisco·
Absatz 2 (wird in einem neuen Tab geöffnet)
perceived latency thresholds

600–800 ms perceived willingness drop

Originalauszug

Perceived willingness begins to drop after 600 ms and steps down significantly from 700 to 800 ms.
Jose Nicholas Francisco·
Kontext

Transport, recognition, endpointing, the LLM's first token, TTS first byte, and the return network hop each take a slice of that budget. This guide breaks down what each layer costs and where you can cut to keep your voice AI stack inside it.

Quelle & Methodik

Diese Standpunkte sind mit ihren Originalquellen verknüpft. Paraphrasen sind gekennzeichnet und keine wörtlichen Zitate.

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