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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. Lisez 3 points de vue avec leurs éléments à l’appui et les liens vers les sources.

Jose Nicholas Francisco
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En un coup d’œil

  • 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.

    Lire le moment probant · Paragraphe 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.

    Lire le moment probant · Paragraphe 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.

    Lire le moment probant · Paragraphe 97

Passages clés3

Passages attribués et accompagnés du contexte nécessaire à leur vérification. Ouvrez le texte original pour vérifier la source.

Paragraphe 97 (s’ouvre dans un nouvel onglet)
production latency SLOs

P95 under 1,000 ms target

Extrait original

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·
Paragraphe 1 (s’ouvre dans un nouvel onglet)
real-time voice AI latency budget

One-second turn deadline

Extrait original

It has about a second to start talking before the exchange feels broken.
Jose Nicholas Francisco·
Contexte

A production voice agent chains transport, speech recognition, a language model, speech synthesis, and orchestration into a single real-time exchange, and each layer draws from the same shared clock.

Paragraphe 2 (s’ouvre dans un nouvel onglet)
perceived latency thresholds

600–800 ms perceived willingness drop

Extrait original

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

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.

Source et méthodologie

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