3 citations · 3 across the 3 of their papers we have counts for
3 papers
Physics-Informed Machine Learning For Sound Field Estimation
Shoichi Koyama, Juliano G. C. Ribeiro, Tomohiko Nakamura +2
The area of study concerning the estimation of spatial sound, i.e., the distribution of a physical quantity of sound such as acoustic pressure, is called sound field estimation, wh…
Kernel Interpolation of Incident Sound Field in Region Including Scattering Objects
Shoichi Koyama, Masaki Nakada, Juliano G. C. Ribeiro +1
A method for estimating the incident sound field inside a region containing scattering objects is proposed. The sound field estimation method has various applications, such as spat…
Kernel interpolation of acoustic transfer functions with adaptive kernel for directed and residual reverberations
Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari
An interpolation method for region-to-region acoustic transfer functions (ATFs) based on kernel ridge regression with an adaptive kernel is proposed. Most current ATF interpolation…