Channel Agnosticism in MetaSounds - Simplifying Audio Formats for Reusable Graph Topologies
ADC - Audio Developer Conference via YouTube
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore Channel Agnostic Types (CAT), a revolutionary approach to decoupling digital audio processing from fixed channel configurations and spatial audio formats in this 40-minute conference talk from ADC 2025. Learn how this innovative system, developed as part of Unreal Engine's MetaSounds, introduces flexible, extensible buffer types that support arbitrary channel layouts including conventional multichannel, sound-field formats, and object-based systems. Discover how CATs combined with the new MetaSound Node Configuration API enable reconfigurable MetaSounds to support any audio format while dramatically reducing asset duplication and complexity. Understand the broader implications of this format-agnostic audio system model that promotes scalability, modularity, and future-proofing for audio development. Gain insights into rethinking the role of channels and audio formats in DSP architecture, whether you're building tools for games, spatial media, installations, or interactive audio platforms. Presented by Aaron McLeran, Director of Audio Engine Development at Epic Games, who leads the design and implementation of real-time audio systems for Unreal Engine and played a key role in developing MetaSounds.
Syllabus
Channel Agnosticism in MetaSounds - Simplifying Audio Formats for Reusable Graph Topologies - ADC
Taught by
ADC - Audio Developer Conference