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. Lee 3 puntos de vista con sus evidencias y enlaces a las fuentes.

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  • 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.

    Ver el momento de apoyo · Párrafo 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.

    Ver el momento de apoyo · Párrafo 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.

    Ver el momento de apoyo · Párrafo 97

Pasajes clave3

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production latency SLOs

P95 under 1,000 ms target

Extracto 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.
real-time voice AI latency budget

One-second turn deadline

Extracto original

It has about a second to start talking before the exchange feels broken.
Contexto

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.

perceived latency thresholds

600–800 ms perceived willingness drop

Extracto original

Perceived willingness begins to drop after 600 ms and steps down significantly from 700 to 800 ms.
Contexto

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.

Fuente y metodología

Estas perspectivas enlazan a sus fuentes originales. Las paráfrasis están identificadas y no son citas textuales.

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