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Choosing a voice AI architecture
How to weigh modular pipelines and native audio models against the needs of your conversation.
Read the article ↗Explore voice AI engineering.
ENGINEERING / EXPLAINEDTaking a voice AI agent from prototype to production
Design for real conversations, observable failures, and reliable actions before scaling a voice agent.
Read the article ↗ REAL-TIME PERFORMANCEWhen audio processing falls behind real time
Distinguish slow inference, scheduling delays, and growing audio queues before tuning your voice runtime.
Read the article ↗ CONVERSATION RELIABILITYWhy voice agents miss “yes,” “no,” and other short replies
Trace brief answers through capture, recognition, turn completion, and interruption handling.
Read the article ↗ STREAMING SPEECHBuilding multilingual streaming transcription that stays in sync
Use a voice-following teleprompter to understand transcript stability, language handling, and local inference tradeoffs.
Read the article ↗ VOICE ARCHITECTURESpeech-to-speech or a cascade: choosing a voice architecture
Compare control, acoustic context, latency, and evaluation without assuming one architecture wins every task.
Read the article ↗ LATENCY ENGINEERINGMeasuring voice agent latency from speech to playback
Build a conversational timeline, identify the critical path, and improve delays without increasing interruptions.
Read the article ↗ AGENT DESIGNSeparating conversation from slower reasoning in voice agents
Keep dialogue available during deeper work with explicit state, result ownership, and cancellation.
Read the article ↗ PIPELINE ENGINEERINGDesigning a streaming voice pipeline without hidden delays
Understand dependencies, buffering, speculation, and cancellation across a modular voice runtime.
Read the article ↗ MEDIA TRANSPORTWebRTC and WebSockets: choosing transport for voice AI
Compare media timing, reliable delivery, network recovery, and the responsibilities of each transport.
Read the article ↗ TURN-TAKINGDesigning interruptions that respect conversational intent
Separate backchannels, corrections, background speech, and real requests to stop.
Read the article ↗ VOICE INFRASTRUCTUREWhat a real-time voice runtime must handle beyond the model
Separate model capabilities from media, session state, action execution, and operational recovery.
Read the article ↗ TURN-TAKING FUNDAMENTALSVAD, endpointing, and turn detection: three different decisions
Understand speech activity, segment finalization, and the conversational decision to respond.
Read the article ↗ VOICE AI FUNDAMENTALSFrom microphone to speaker: how a voice agent works
A practical introduction to recognition, response generation, synthesis, and the runtime connecting them.
Read the article ↗ VOICE AI EVALUATIONHow to prove an end-of-turn detector is actually better
Measure early responses, waiting time, language coverage, and structured-input failures together.
Read the article ↗ SPEECH RESEARCHHow transformers help predict the end of a spoken turn
Explore contextual turn prediction, text and audio inputs, and the limits of learned timing.
Read the article ↗ SPEECH INTELLIGENCEWhat speaker diarization adds to a transcript
Why “what was said” and “who spoke when” are different questions, especially when voices overlap.
Read the article ↗REAL-TIME SYSTEMSDesigning voice agents that stay responsive
Background tools, session-aware routing, and the difference between fast components and a good conversation.
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