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Natsuki Ueno

10 accepted papers

2025

Mel-Spectrogram Inversion via Alternating Direction Method of Multipliers

ICASSP 2025accepted

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 propose a mel-spectrogram inversion method based on a rigorous optimization algorithm. To reconstruct a time-domain signal wit…

Cited by 0SourceScholar
2023

Element Selection with Wide Class of Optimization Criteria Using Non-Convex Sparse Optimization

ICASSP 2023accepted

Element selection techniques for high-dimensional features have various applications in machine learning. In general, the problem of element selection is typically solved by greedy methods or convex relaxation methods. However, these algorithms are applicable to only a specific class of optimization…

Cited by 0SourceScholar
2022

Instantaneous Linear Dimensionality Reduction of Multichannel Time-Series Signal for Array Signal Processing

ICASSP 2022accepted

Linear dimensionality reduction of signals observed by a sensor array is often useful in balancing the accuracy and speed of post-stage processing, especially in real-time systems with limited computational resources. However, for multichannel time-series signals having time-invariant intertemporal…

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
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

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