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The steered response power (SRP) method is one of the most popular approaches for acoustic source localization with microphone arrays. It is often based on simplifying acoustic assumptions, such as an omnidirectional sound source in the far…

Audio and Speech Processing · Electrical Eng. & Systems 2026-02-10 Kaspar Müller , Markus Buck , Simon Doclo , Jan Østergaard , Tobias Wolff

It is known that adverse environments such as high reverberation and low signal-to-noise ratio (SNR) pose a great challenge to indoor sound source localization. To address this challenge, in this paper, we propose a sound source…

Sound · Computer Science 2018-12-05 Yingxiang Sun , Jiajia Chen , Chau Yuen , Susanto Rahardja

Sound source localization (SSL) determines the position of sound sources using multi-channel audio data. It is commonly used to improve speech enhancement and separation. Extracting spatial features is crucial for SSL, especially in…

Audio and Speech Processing · Electrical Eng. & Systems 2025-05-21 Yang Xiao , Rohan Kumar Das

Sound sources localization using multichannel signal processing has been a subject of active research for decades. In recent years, the use of deep learning in audio signal processing has allowed to drastically improve performances for…

Audio and Speech Processing · Electrical Eng. & Systems 2021-06-16 Hadrien Pujol , Éric Bavu , Alexandre Garcia

Acoustic signal processing in the spherical harmonics domain (SHD) is an active research area that exploits the signals acquired by higher order microphone arrays. A very important task is that concerning the localization of active sound…

Audio and Speech Processing · Electrical Eng. & Systems 2024-01-29 Maximo Cobos , Mirco Pezzoli , Fabio Antonacci , Augusto Sarti

Acoustic source localization has been applied in different fields, such as aeronautics and ocean science, generally using multiple microphones array data to reconstruct the source location. However, the model-based beamforming methods fail…

Sound · Computer Science 2022-04-01 Guanxing Zhou , Hao Liang , Xinghao Ding , Yue Huang , Xiaotong Tu , Saqlain Abbas

Sound source localization (SSL) is a critical technology for determining the position of sound sources in complex environments. However, existing methods face challenges such as high computational costs and precise calibration requirements,…

Sound · Computer Science 2025-05-28 Yiyuan Yang , Shitong Xu , Niki Trigoni , Andrew Markham

This paper proposes an efficient method based on the steered-response power (SRP) technique for sound source localization using microphone arrays: the volumetric SRP (V-SRP). As compared to the SRP, by deploying a sparser volumetric grid,…

Mobile robots in real-life settings would benefit from being able to localize and track sound sources. Such a capability can help localizing a person or an interesting event in the environment, and also provides enhanced processing for…

Robotics · Computer Science 2016-02-29 Jean-Marc Valin , François Michaud , Jean Rouat

Estimation of the location of sound sources is usually done using microphone arrays. Such settings provide an environment where we know the difference between the received signals among different microphones in the terms of phase or…

Sound · Computer Science 2026-01-08 Helena Peic Tukuljac , Herve Lissek , Pierre Vandergheynst

Sound source localization (SSL) technology plays a crucial role in various application areas such as fault diagnosis, speech separation, and vibration noise reduction. Although beamforming algorithms are widely used in SSL, their resolution…

Sound · Computer Science 2024-10-01 Wenbo Ma , Yan Lu , Yijun Liu

Acoustic reverberation is one of the most relevant factors that hampers the localization of a sound source inside a room. To date, several approaches have been proposed to deal with it, but have not always been evaluated under realistic…

This study presents a system for sound source localization in time domain using a deep residual neural network. Data from the linear 8 channel microphone array with 3 cm spacing is used by the network for direction estimation. We propose to…

Sound · Computer Science 2018-08-21 Dmitry Suvorov , Ge Dong , Roman Zhukov

We present a system for localizing sound sources in a room with several ad-hoc microphone arrays. Each circular array performs direction of arrival (DOA) estimation independently using commercial software. The DOAs are fed to a fusion…

Accurate Direction of Arrival (DoA) estimation is critical for applications in robotics and communication, but high costs and complexity of coherent multi-channel receivers hinder accessibility. This work proposes a cost-effective DoA…

Signal Processing · Electrical Eng. & Systems 2025-02-13 Lennart Werner , Markus Gardill , Marco Hutter

Sound Source Localization (SSL) are used to estimate the position of sound sources. Various methods have been used for detecting sound and its localization. This paper presents a system for stationary sound source localization by cubical…

Underwater data infrastructures offer natural cooling and enhanced physical security compared to terrestrial facilities, but their storage systems remain susceptible to acoustic injection attacks, where sound-induced mechanical vibrations…

Signal Processing · Electrical Eng. & Systems 2026-05-26 Adnan Abdullah , David Blow , Sara Rampazzi , Md Jahidul Islam

The beamforming performance of the uniform circular array (UCA) in near-field wideband communication systems is investigated. Compared to uniform linear array (ULA), UCA exhibits uniform effective array aperture in all directions, thus…

Information Theory · Computer Science 2024-04-04 Yunhui Guo , Yang Zhang , Zhaolin Wang , Yuanwei Liu

This paper describes a sound source localization (SSL) technique that combines an $\alpha$-stable model for the observed signal with a neural network-based approach for modeling steering vectors. Specifically, a physics-informed neural…

Classical methods for acoustic scene mapping require the estimation of time difference of arrival (TDOA) between microphones. Unfortunately, TDOA estimation is very sensitive to reverberation and additive noise. We introduce an unsupervised…

Audio and Speech Processing · Electrical Eng. & Systems 2024-03-14 Idan Cohen , Ofir Lindenbaum , Sharon Gannot
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