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Sound source localisation is used in many consumer devices, to isolate audio from individual speakers and reject noise. Localization is frequently accomplished by ``beamforming'', which combines phase-shifted audio streams to increase power…

声音 · 计算机科学 2025-02-13 Saeid Haghighatshoar , Dylan R Muir

The interaction of electrons with quantized phonons and photons underlies the ultrafast dynamics of systems ranging from molecules to solids, and it gives rise to a plethora of physical phenomena experimentally accessible using…

An integral formulation for acoustic radiation in moving flows is presented. It is based on a potential formulation for acoustic radiation on weakly non-uniform subsonic mean flows. This work is motivated by the absence of suitable kernels…

流体动力学 · 物理学 2016-09-13 Simone Mancini , R. Jeremy Astley , Samuel Sinayoko , Gwenael Gabard , Michel Tournour

Millimeter wave wireless systems rely heavily on directional communication in narrow steerable beams. Tools to measure the spatial and temporal nature of the channel are necessary to evaluate beamforming and related algorithms. This paper…

We have developed an approach to calculate the single-particle Green function of a one-dimensional many-body system in the strongly localized limit at zero temperature. Our approach, based on the locator expansion, sums the contributions of…

介观与纳米尺度物理 · 物理学 2017-05-05 A. N. Somoza , M. Ortuño , V. Gasparian , M. Pino

Sound source tracking is commonly performed using classical array-processing algorithms, while machine-learning approaches typically rely on precise source position labels that are expensive or impractical to obtain. This paper introduces a…

音频与语音处理 · 电气工程与系统科学 2026-02-12 Luan Vinícius Fiorio , Ivana Nikoloska , Bruno Defraene , Alex Young , Johan David , Ronald M. Aarts

In this paper we present a new robust sound source localization and tracking method using an array of eight microphones (US patent pending) . The method uses a steered beamformer based on the reliability-weighted phase transform (RWPHAT)…

机器人学 · 计算机科学 2016-04-07 Jean-Marc Valin , François Michaud , Jean Rouat

We consider the scattering of acoustic waves emitted by an active source above a plane turbulent shear layer. The layer is modeled by a moving random medium with small spatial and temporal fluctuations of its mean velocity, and constant…

流体动力学 · 物理学 2020-05-19 Josselin Garnier , Etienne Gay , Éric Savin

Radiation by solid or fluid bodies can be characterized by resonance modes. They are complex, as well as resonance frequencies, because of the energy loss due to radiation. For ducts, they can be computed from the knowledge of the radiation…

经典物理 · 物理学 2010-01-11 Bastien Mallaroni , Pierre-Olivier Mattei , Jean Kergomard

In sensor array beamforming methods, a class of algorithms commonly used to estimate the position of a radiating source, the diagonal loading of the beamformer covariance matrix is generally used to improve computational accuracy and…

声音 · 计算机科学 2018-01-18 Daniele Salvati , Carlo Drioli , Gian Luca Foresti

Recently, stunning improvements on multi-channel speech separation have been achieved by neural beamformers when direction information is available. However, most of them neglect to utilize speaker's 2-dimensional (2D) location cues…

音频与语音处理 · 电气工程与系统科学 2023-06-05 Yanjie Fu , Meng Ge , Honglong Wang , Nan Li , Haoran Yin , Longbiao Wang , Gaoyan Zhang , Jianwu Dang , Chengyun Deng , Fei Wang

Existing methods utilizing spatial information for sound source separation require prior knowledge of the direction of arrival (DOA) of the source or utilize estimated but imprecise localization results, which impairs the separation…

音频与语音处理 · 电气工程与系统科学 2025-04-08 Donghang Wu , Xihong Wu , Tianshu Qu

The forced time harmonic response of a spatiotemporally-modulated elastic beam of finite length with light damping is derived using a novel Green's function approach. Closed-form solutions are found that highlight unique mode coupling…

A method for sound field decomposition based on neural networks is proposed. The method comprises two stages: a sound field separation stage and a single-source localization stage. In the first stage, the sound pressure at microphones…

音频与语音处理 · 电气工程与系统科学 2023-09-14 Ryo Matsuda , Makoto Otani

We explore how ambient-noise interferometry can serve to track variations in the distribution of scatterers within a medium. Experiments are conducted in the presence and absence of a single scatterer that can occupy different positions…

应用物理 · 物理学 2018-08-13 Aida Hejazi Nooghabi , Lapo Boschi , Philippe Roux , Julien de Rosny

Source localization is the process of estimating the location of signal sources based on the signals received at different antennas of an antenna array. It has diverse applications, ranging from radar systems and underwater acoustics to…

信号处理 · 电气工程与系统科学 2024-02-13 Parisa Ramezani , Özlem Tuğfe Demir , Emil Björnson

In this paper, new representations of the Green's function for an acoustic d-dimensional half-space problem with impedance boundary conditions are presented. The main features of the new representation are: a) in addition to additive terms…

数值分析 · 数学 2025-07-24 C. Lin , J. M. Melenk , S. Sauter

In this paper, we propose a novel approach to obtaining a reliable and simple mathematical model of a dielectrophoretic force for model-based feedback micromanipulation. Any such model is expected to sufficiently accurately relate the…

计算物理 · 物理学 2017-09-13 Martin Gurtner , Kristian Hengster-Movric , Zdeněk Hurák

The source separation-based speech enhancement problem with multiple beamforming in reverberant indoor environments is addressed in this paper. We propose that more generic solutions should cope with time-varying dynamic scenarios with…

音频与语音处理 · 电气工程与系统科学 2020-11-05 Alejandro Díaz , Diego Pincheira , Rodrigo Mahu , Nestor Becerra Yoma

Acoustic beamformers have been widely used to enhance audio signals. The best current methods are DNN-powered variants of the generalized eigenvalue beamformer, and DNN-based filterestimation methods that directly compute beamforming…

声音 · 计算机科学 2020-03-03 Yuichiro Koyama , Bhiksha Raj