activity
20212025
most citedSound Field Estimation: Theories and Applications

7 citations · 16 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SP2025

On the Invariance of Cross-Correlation Peak Positions Under Monotonic Signal Transformations, with Application to Fast Time Difference Estimation

Natsuki Ueno, Ryotaro Sato, Nobutaka Ono

We present a theorem concerning the invariance of cross-correlation peak positions. This theoretical result provides the foundation for a new method for time difference estimation…

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…

eess.AS2025

Mel-Spectrogram Inversion via Alternating Direction Method of Multipliers

Yoshiki Masuyama, Natsuki Ueno, Nobutaka Ono

Signal reconstruction from its mel-spectrogram is known as mel-spectrogram inversion and has many applications, including speech and foley sound synthesis. In this paper, we propos…

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

Signal Reconstruction from Mel-spectrogram Based on Bi-level Consistency of Full-band Magnitude and Phase

Yoshiki Masuyama, Natsuki Ueno, Nobutaka Ono

We propose an optimization-based method for reconstructing a time-domain signal from a low-dimensional spectral representation such as a mel-spectrogram. Phase reconstruction has b…

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…

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★ 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…