2 papers
eess.AS2024
Sound Field Estimation Using Deep Kernel Learning Regularized by the Wave Equation
David Sundström, Shoichi Koyama, Andreas Jakobsson
In this work, we introduce a spatio-temporal kernel for Gaussian process (GP) regression-based sound field estimation. Notably, GPs have the attractive property that the sound fiel…
eess.SP2024
Room Impulse Response Estimation using Optimal Transport: Simulation-Informed Inference
David Sundström, Anton Björkman, Andreas Jakobsson +1
The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals…