activity
20212026
most citedBinaural rendering from microphone array signals of arbitrary geometry

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

collaborators

22 papers

eess.AS2026

Feedforward Active Speech Suppression Based on Time Series Prediction of Speech Signals Using Neural Networks

Manami Nishikata, Shoichi Koyama

A feedforward active noise control (ANC) method based on time-series prediction for speech signals is proposed. Although current ANC techniques are highly effective against station…

eess.AS2025★ 7 cited

Past, Present, and Future of Spatial Audio and Room Acoustics

Shoichi Koyama, Enzo De Sena, Prasanga Samarasinghe +2

The study of spatial audio and room acoustics aims to create immersive audio experiences by modeling the physics and psychoacoustics of how sound behaves in space. In the long hist…

eess.AS2025★ 7 cited

Sound Field Estimation: Theories and Applications

Natsuki Ueno, Shoichi Koyama

The spatial information of sound plays a crucial role in various situations, ranging from daily activities to advanced engineering technologies. To fully utilize its potential, num…

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…

eess.AS2024

Localizing Acoustic Energy in Sound Field Synthesis by Directionally Weighted Exterior Radiation Suppression

Yoshihide Tomita, Shoichi Koyama, Hiroshi Saruwatari

A method for synthesizing the desired sound field while suppressing the exterior radiation power with directional weighting is proposed. The exterior radiation from the loudspeaker…

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…

eess.AS2023

Perceptual Quality Enhancement of Sound Field Synthesis Based on Combination of Pressure and Amplitude Matching

Keisuke Kimura, Shoichi Koyama, Hiroshi Saruwatari

A sound field synthesis method enhancing perceptual quality is proposed. Sound field synthesis using multiple loudspeakers enables spatial audio reproduction with a broad listening…

eess.AS2023

Multichannel Active Noise Control with Exterior Radiation Suppression Based on Riemannian Optimization

Takaaki Kojima, Kazuyuki Arikawa, Shoichi Koyama +1

A multichannel active noise control (ANC) method with exterior radiation suppression is proposed. When applying ANC in a three-dimensional space by using multiple microphones and l…

eess.AS2023★ 2 cited

Kernel-interpolation-based spatial active noise control with exterior radiation suppression

Kazuyuki Arikawa, Shoichi Koyama, Hiroshi Saruwatari

A spatial active noise control (ANC) method based on kernel interpolation of a sound field with exterior radiation suppression is proposed. The aim of spatial ANC is to reduce inco…

eess.AS2023

Spatial Active Noise Control Method Based On Sound Field Interpolation From Reference Microphone Signals

Kazuyuki Arikawa, Shoichi Koyama, Hiroshi Saruwatari

A spatial active noise control (ANC) method based on the interpolation of a sound field from reference microphone signals is proposed. In most current spatial ANC methods, a suffic…

eess.AS2023★ 1 cited

Weighted Pressure and Mode Matching for Sound Field Reproduction: Theoretical and Experimental Comparisons

Shoichi Koyama, Keisuke Kimura, Natsuki Ueno

Two sound field reproduction methods, weighted pressure matching and weighted mode matching, are theoretically and experimentally compared. The weighted pressure and mode matching…

eess.AS2023★ 3 cited

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…

eess.AS2022★ 2 cited

Weighted Pressure Matching Based on Kernel Interpolation For Sound Field Reproduction

Shoichi Koyama, Kazuyuki Arikawa

A sound field reproduction method called weighted pressure matching is proposed. Sound field reproduction is aimed at synthesizing the desired sound field using multiple loudspeake…

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…

eess.AS2022★ 7 cited

Region-to-region kernel interpolation of acoustic transfer function with directional weighting

Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari

A method of interpolating the acoustic transfer function (ATF) between regions that takes into account both the physical properties of the ATF and the directionality of region conf…

eess.AS2022

Spatial active noise control based on individual kernel interpolation of primary and secondary sound fields

Kazuyuki Arikawa, Shoichi Koyama, Hiroshi Saruwatari

A spatial active noise control (ANC) method based on the individual kernel interpolation of primary and secondary sound fields is proposed. Spatial ANC is aimed at cancelling unwan…

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…

eess.AS2021

Sound Field Reproduction With Weighted Mode Matching and Infinite-Dimensional Harmonic Analysis: An Experimental Evaluation

Shoichi Koyama, Keisuke Kimura, Natsuki Ueno

Sound field reproduction methods based on numerical optimization, which aim to minimize the error between synthesized and desired sound fields, are useful in many practical scenari…

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…

eess.AS2021★ 19 cited

Binaural rendering from microphone array signals of arbitrary geometry

Naoto Iijima, Shoichi Koyama, Hiroshi Saruwatari

A method of binaural rendering from microphone array signals of arbitrary geometry is proposed. To reproduce binaural signals from microphone array recordings at a remote location,…

eess.AS2021★ 6 cited

MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods

Shoichi Koyama, Tomoya Nishida, Keisuke Kimura +3

A new impulse response (IR) dataset called "MeshRIR" is introduced. Currently available datasets usually include IRs at an array of microphones from several source positions under…