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20212026
most citedBinaural rendering from microphone array signals of arbitrary geometry

19 citations · 61 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.SD2024

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…

cs.SD2023

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…

cs.SD2022★ 1 cited

Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning

Yuki Ito, Tomohiko Nakamura, Shoichi Koyama +1

We propose a method of head-related transfer function (HRTF) interpolation from sparsely measured HRTFs using an autoencoder with source position conditioning. The proposed method…

cs.SD2022★ 4 cited

Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation

Kazuhide Shigemi, Shoichi Koyama, Tomohiko Nakamura +1

A sound field estimation method based on a physics-informed convolutional neural network (PICNN) using spline interpolation is proposed. Most of the sound field estimation methods…

cs.SD2021

Mean-square-error-based secondary source placement in sound field synthesis with prior information on desired field

Keisuke Kimura, Shoichi Koyama, Natsuki Ueno +1

A method of optimizing secondary source placement in sound field synthesis is proposed. Such an optimization method will be useful when the allowable placement region and available…

cs.SD2021★ 2 cited

Kernel Learning For Sound Field Estimation With L1 and L2 Regularizations

Ryosuke Horiuchi, Shoichi Koyama, Juliano G. C. Ribeiro +2

A method to estimate an acoustic field from discrete microphone measurements is proposed. A kernel-interpolation-based method using the kernel function formulated for sound field i…