New method solves 50-year-old acoustics problem for AI audio models

Researchers have developed the first reliable method to calculate acoustic Green's functions in rectangular rooms with sound-absorbing walls, solving a problem that has limited audio simulation accuracy for decades. Their semi-analytical approach achieves negligible error with sufficient truncation, providing a benchmark for numerical simulations. This enables accurate modeling of how sound behaves in realistic spaces, which is crucial for training AI audio systems to generate lifelike soundscapes and speech.