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PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

Text-to-spatial audio generation, such as text-to-First-Order Ambisonics (FOA), provides a convenient way to create spatial audio for billion-dollar gaming and film industries. However, existing text-to-FOA methods are largely data-driven and may produce audio that violates acoustic relations between source direction and distance. They also separate descriptive and parametric control, forcing users to trade usability for precision. In this paper, we present PhysWave, a physics-guided latent diffusion model for controllable text-to-FOA generation. PhysWave unifies natural-language and trajector

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Evidence & attribution

First collected: 2026-09-21T07:31:56.984Z. This is not the publication date.