Build Real-Time Voice Chat with WebSockets, LLMs, and Web Audio API
Forget clunky voice delays! This guide dives deep into building a real-time voice-to-voice communication system directly in the browser, leveraging the power of WebSockets, local Large Language Mod...

Source: DEV Community
Forget clunky voice delays! This guide dives deep into building a real-time voice-to-voice communication system directly in the browser, leveraging the power of WebSockets, local Large Language Models (LLMs) like Ollama, and the Web Audio API. We’ll explore the technical challenges of low-latency audio streaming and provide a practical code example to get you started. Imagine building a conversational AI assistant that feels natural, or a collaborative voice editor with instant feedback – that’s the power of this approach. The Challenge of Real-Time Voice Communication Traditional web development often relies on request-response cycles. But voice communication demands something different: continuous, low-latency data flow. Human conversations have an expected latency of 200-500 milliseconds. Exceeding 1 second creates a jarring, robotic experience. The core problem isn’t just sending audio, it’s managing a constant stream of audio data, processing it quickly, and returning a response w