Simulating Property Acoustics
4 simple steps. Fully AI-driven
4 simple steps. Fully AI-driven
Neural Radiance Fields (NeRFs) convert a walkthrough video into a full 3D mesh, creating an accurate interior spatial model. AI segmentation models classify surface materials (drywall, concrete, glass, carpet, etc) and each material gets assigned absorption and reflection coefficients from acoustic databases.
Millions of tiny laser beams emitted from every local sound source, tracking distance, surface properties, and openings. NVIDIA’s RTX Acoustic SDK uses GPU ray tracing to simulate how sound waves behave in 3D spaces, producing hyper-realistic, spatialized soundscapes.
Injection of real environmental data. Pulling live decibel levels from Google Traffic APIs and using city permit filings to predict noise spikes from potential projects. Taps into municipal open-data feeds and historical noise heat maps to generate detailed sound signatures for properties.
Generative spatial audio engines create immersive sound where AI synthesizes missing sounds, like street construction or kids playing outside. Steam Audio SDK is a spatial audio engine that makes sound positional: Close a virtual door and outside noise drops naturally.