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Shoichi Koyama

22 accepted papers

2025

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

ICASSP 2025accepted

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 history of this research area, various key technologies have been developed based both on theoretical advancements and pract…

Cited by 0SourceScholar
2024

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

ICASSP 2024accepted

A method for synthesizing the desired sound field while suppressing the exterior radiation power with directional weighting is proposed. The exterior radiation from the loudspeakers in sound field synthesis systems can be problematic in practical situations. Although several methods to suppress the…

Cited by 0SourceScholar
2023

Kernel Interpolation of Acoustic Transfer Functions with Adaptive Kernel for Directed and Residual Reverberations

ICASSP 2023accepted

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 methods do not incorporate the acoustic properties for which measurements are performed. Our proposed method is based o…

Cited by 0SourceScholar
2023

Spatial Active Noise Control Method Based on Sound Field Interpolation from Reference Microphone Signals

ICASSP 2023accepted

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 sufficient number of error microphones are required to reduce noise over the target region because the sound field is estimate…

Cited by 0SourceScholar
2022

Region-to-Region Kernel Interpolation of Acoustic Transfer Function with Directional Weighting

ICASSP 2022accepted

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 configurations is proposed. Most spatial ATF interpolation methods are limited to estimation in the region of receivers. A k…

Cited by 0SourceScholar
2022

Spatial Active Noise Control Based on Individual Kernel Interpolation of Primary and Secondary Sound Fields

ICASSP 2022accepted

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 unwanted primary noise within a continuous region by using multiple secondary sources and microphones. A method based on the…

Cited by 0SourceScholar
2022

Variable Span Trade-Off Filter for Sound Zone Control with Kernel Interpolation Weighting

ICASSP 2022accepted

A sound zone control method is proposed, based on the frequency domain variable span trade-off filter (VAST). Existing VAST methods optimizes the sound field at a set of discrete points, while the proposed method uses kernel interpolation to instead optimize the sound field over a continuous region.…

Cited by 0SourceScholar
2021

Amplitude Matching: Majorization-Minimization Algorithm for Sound Field Control Only with Amplitude Constraint

ICASSP 2021accepted

A sound field control method for synthesizing a desired amplitude distribution inside a target region, amplitude matching, is proposed. In the conventional pressure matching, a desired sound field is set as a pressure distribution including amplitude and phase. In personal audio applications, it is…

Cited by 0SourceScholar
2021

Kernel-Interpolation-Based Filtered-X Least Mean Square for Spatial Active Noise Control In Time Domain

ICASSP 2021accepted

Time-domain spatial active noise control (ANC) algorithms based on kernel interpolation of a sound field are proposed. Spatial ANC aims to suppress a primary noise field in a region by synthesizing an anti-noise field using secondary loudspeakers. In contrast to the multipoint pressure control by co…

Cited by 0SourceScholar
2020

Mutual-Information-Based Sensor Placement for Spatial Sound Field Recording

ICASSP 2020accepted

A sensor (microphone) placement method based on mutual information for spatial sound field recording is proposed. The sound field recording methods using distributed sensors enable the estimation of the sound field inside a target region of arbitrary shape; however, it is a difficult task to find th…

Cited by 0SourceScholar
2020

Spatial Active Noise Control Based on Kernel Interpolation with Directional Weighting

ICASSP 2020accepted

A spatial active noise control (ANC) method taking prior information on the approximate direction of primary noise sources into consideration is proposed. ANC aims to cancel incoming primary noise using secondary loudspeakers. Conventional multipoint ANC does not guarantee the reduction of noise bet…

Cited by 0SourceScholar
2019

Feedforward Spatial Active Noise Control Based on Kernel Interpolation of Sound Field

ICASSP 2019accepted

A method for feedforward active noise control (ANC) over a spatial region is proposed. Conventional multipoint ANC aims to reduce the noise at multiple discrete positions; therefore, the noise reduction in the region between these points cannot be guaranteed. Recent studies revealed the possibility…

Cited by 0SourceScholar
2019

Robust Gridless Sound Field Decomposition Based on Structured Reciprocity Gap Functional in Spherical Harmonic Domain

ICASSP 2019accepted

A sound field reconstruction method for a region including sources is proposed. Under the assumption of spatial sparsity of the sources, this reconstruction problem has been solved by using sparse decomposition algorithms with the discretization of the target region. Since this discretization leads…

Cited by 0SourceScholar
2018

Joint Source and Sensor Placement for Sound Field Control Based on Empirical Interpolation Method

ICASSP 2018accepted

This study proposes a principled method to jointly determine the placement of acoustic sources (loudspeakers) and sensors (control points/microphones) in sound field control. The goal of this setup is to efficiently produce a sound field using multiple loudspeakers, approximately matching a target s…

Cited by 0SourceScholar
2018

Sound Field Reproduction with Exterior Cancellation Using Analytical Weighting of Harmonic Coefficients

ICASSP 2018accepted

A method for sound field reproduction with the suppression of exterior radiation is proposed, which makes it possible to synthesize a desired sound field in a reverberant environment without prior knowledge of the transfer functions of the multiple loudspeakers. The objective function used to achiev…

Cited by 0SourceScholar
2017

Listening-area-informed sound field reproduction based on circular harmonic expansion

ICASSP 2017accepted

A sound field reproduction method that exploits prior information on listening areas is proposed. Most current methods are aimed at reproducing the sound field over the entire space or around listener locations. We formulate the objective function for this problem as the expectation minimization of…

Cited by 0SourceScholar
2017

Spatio-temporal sparse sound field decomposition considering acoustic source signal characteristics

ICASSP 2017accepted

We propose a sound field decomposition method that takes into consideration spatio-temporal sparsity. It has been proved that sparse representation of a sound field is effective in reducing errors originating from spatial aliasing artifacts compared with conventional plane wave decomposition. In mos…

Cited by 0SourceScholar
2016

Multichannel blind source separation based on non-negative tensor factorization in wavenumber domain

ICASSP 2016accepted

Multichannel non-negative matrix factorization based on a spatial covariance model is one of the most promising techniques for blind source separation. However, this approach is not tractable for a large number of microphones, M, because the computational cost is of order O(M <sup xmlns:mml="http://…

Cited by 0SourceScholar
2016

Sound field decomposition in reverberant environment using sparse and low-rank signal models

ICASSP 2016accepted

A sound field decomposition method for a reverberant environment is proposed. Sound field decomposition is the foundation of various acoustic signal processing applications and enables the estimation of the entire sound field from pressure measurements. Although spatial Fourier analysis of the sound…

Cited by 0SourceScholar
2016

Sparse sound field decomposition with multichannel extension of complex NMF

ICASSP 2016accepted

A sparse sound field decomposition method using prior information on source signals in the time-frequency domain is proposed. Sparse sound field decomposition has been proved to be effective for various acoustic signal processing applications. Current methods for sparse decomposition are based only…

Cited by 0SourceScholar
2015

Statistical modeling of binaural signal and its application to binaural source separation

ICASSP 2015accepted

This paper addresses a new statistical model of binaural signals and its application to efficient binaural source separation. Binaural source separation is always required to retain a spatial cue of the separated sound, such as a head-related transfer function (HRTF). However, the direct use of an H…

Cited by 0SourceScholar
2015

Structured sparse signal models and decomposition algorithm for super-resolution in sound field recording and reproduction

ICASSP 2015accepted

A method for achieving super-resolution of sound field recording and reproduction is proposed. To obtain driving signals of loudspeakers for reproduction from received signals of microphones, sparse signal decomposition makes it possible to reduce spatial aliasing artifacts when the number of microp…

Cited by 0SourceScholar