Building Real-Time Voice AI: From Microphone to LLM Response

Agenda:
6:00 PM - 7:30 PM - Building Real-Time Voice AI: From Microphone to LLM Response

Abstract:
Voice-first AI interfaces are rapidly becoming the new standard—and now developers can build real-time conversational agents with sub-second response times. In this session, we’ll explore how to architect and implement a real-time voice assistant using streaming audio, WebSockets, and modern LLMs.

We’ll break down how real-time speech-to-text, reasoning, and text-to-speech fit together, compare available model options, and review best practices for latency, barge-in/interruption handling, and tool-calling to integrate with real-world applications.

Whether you’re working on customer support automation, hands-free productivity assistants, or accessibility features, you’ll walk away with a practical blueprint for building your own voice-AI-powered experience.

What we’ll cover:

• Audio streaming & WebSocket architecture
• Choosing real-time LLM platforms (OpenAI, Azure, local models, etc.)
• Handling interruptions, memory, and natural conversation flow
• Integrating tools, APIs, and enterprise systems
• Deployment considerations, costs, and scaling

Join us and learn how to bring your applications to life—literally.