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Kyra Voice 2.0: Sub-500ms Conversational AI Architecture

The neural speech-to-speech engine powering natural, low-latency technical interviews with adaptive reasoning, zero hallucinated rubrics, and real-time audio telemetry.

Engine Architecture

Full-Duplex Speech Streaming

Step 1: Audio Ingestion

Opus WebSocket Stream

Candidate audio streamed at 48kHz with client-side VAD (Voice Activity Detection).

Step 2: Real-Time ASR

Acoustic Phoneme Model

Converts audio to tokens in ~120ms with specialized engineering vocabulary tuning.

Step 3: Reasoning Core

Job-Grounded LLM

Evaluates answer depth against rubric and synthesizes dynamic follow-up in ~180ms.

Step 4: Neural TTS

Sub-200ms Synthesizer

Streams warm, human-like voice packets back to candidate with zero awkward pauses.

Performance Metrics

Engineered for fluid, professional dialogue.

< 480ms

Total End-to-End Latency

Matches human conversational cadence without talking over the candidate or leaving unnatural silences.

99.4%

Vocabulary Precision

Trained on software architecture, Kubernetes primitives, distributed systems, and domain nomenclature.

100%

Deterministic Rubrics

Evaluations strictly adhere to recruiter-defined requirements without hallucinating missing credentials.

Engine FAQ

Frequently Asked Questions

Deploy Kyra Voice 2.0 to your hiring pipeline.

Experience conversational AI screening that respects candidates and delivers deep hiring signal.