Scalability
Sustain long voice conversations without exhausting context windows or making per-call costs impractical.
Agentic Middleware
llmovoice
A practical direction for real-time voice-native LLM systems that are scalable, natural, and robust in production conditions.
Overview
Voice is becoming a primary interface for LLMs. This paper explores what it takes to make voice interaction work well beyond demos, with a focus on long-running calls, expressive response style, and stable behavior under imperfect network conditions.
Core Goals
Naturalness
Adapt pace and speaking style so the agent sounds conversational rather than flat and robotic.
Robustness
Handle noisy real-world audio and network jitter while keeping turn-taking stable and reliable.