Building Digital Avatar Pipelines with Audio2Face and Riva

Interactive digital humans are transforming how we connect online, but building them requires bridging the gap between speech and animation technologies. This text-based course guides you through the foundational concepts and configuration steps of a modern digital avatar pipeline. You will transition from understanding basic conversational AI to designing a fully integrated pipeline that translates voice input into expressive facial animation. By studying practical architectural patterns, you will learn to coordinate audio processing, speech synthesis, and automated face generation to create responsive digital characters. What you'll learn: - Understand the core architectural components of real-time digital human pipelines and conversational AI. - Configure Riva for high-performance automatic speech recognition and text-to-speech synthesis. - Generate realistic facial expressions from audio inputs using Omniverse Audio2Face. - Integrate modern large language models to drive intelligent, context-aware avatar responses. - Design end-to-end data flows that connect voice capture, natural language processing, and animation outputs. - Apply performance optimization techniques for low-latency, real-time interactive streaming. The curriculum begins with essential terminology and structural overviews of avatar technology before guiding you through component configuration, API integration, and pipeline testing. You will study practical architectural designs and code-based configurations to seamlessly connect speech systems with animation engines. This course is designed for software developers, technical artists, and technology enthusiasts who are new to digital human pipelines and want a clear, conceptual walkthrough. Start reading today to build the foundation for your own interactive digital human projects.