AI-voice agents Introduction

AI-voice agents work by combining several key technologies. First, speech recognition converts human voice input into text. Then, natural language processing and large language models analyze the text to understand intent and context. The agent uses its training data and specialized knowledge bases to formulate an appropriate response. Finally, text-to-speech technology converts the response back into natural-sounding speech. Advanced systems like Marr Labs' Symphonia platform use components like ML Turbo for sophisticated listening and ML Reason for expert-level reasoning to enable fluid, context-aware conversations. These agents can be customized for specific industries or tasks, allowing them to handle complex interactions like sales calls, appointment scheduling, or customer support inquiries.