Voice AI Systems
Speech pipelines that feel instant and stay stateful: STT/TTS selection, turn-taking, interruption and latency engineering.
Sounds familiar?
- 01The voice demo worked; live calls feel slow or robotic.
- 02Interruptions, barge-in or silence handling break conversations.
- 03Latency is high and nobody can attribute where it goes.
- 04Voice state diverges from application state.
What it costs to leave it
- Users abandon voice and fall back to text or support.
- Per-minute infrastructure costs punish success.
- Voice becomes a demo feature rather than a product surface.
What the engagement covers.
Pipeline architecture: capture, STT, orchestration, TTS and their latency budgets.
Turn-taking, interruption and endpointing behavior.
Stateful orchestration so voice sessions match application state.
Model selection per component with cost/quality tradeoffs made explicit.
Telephony and network realities: jitter, dropped audio, concurrent channels.
How the engagement runs.
Set the end-to-end latency and quality targets users will feel.
Choose pipeline components against the budget, with fallbacks.
Turn-taking, interruption and error behavior on real calls.
Monitoring per stage, per channel, per failure mode.
Deliverables
End-to-end latency budget with per-stage attribution
Pipeline architecture and component selection rationale
Turn-taking/interruption behavior specification
Fallback and failure-handling design
Operational monitoring for live voice traffic
A good fit when
- Products where voice is a primary interface, not a novelty.
- Teams with per-minute cost pressure or concurrency requirements.
- Support/ops use cases that must integrate with business systems.
Probably not, when
- One-off IVR replacements with no product ambition.
- Teams expecting telephony-grade reliability without operational investment.
Common questions.
Which speech models do you use?
Component by component: STT, TTS and orchestration each have different cost/quality tradeoffs. Selection is made against your latency budget, not vendor marketing.
How fast can voice feel?
Perceived responsiveness is a budget across capture, transcription, decision and synthesis. We attribute every stage before optimizing any.
Can voice stay stateful across a session?
Yes. Stateful orchestration is a core part of the design, including recovery when audio or network fails mid-conversation.
Do you handle telephony integration?
Yes, including the parts that make live calls messy: jitter, interruptions, overlapping speech and dropped audio.