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相关论文: Steered Response Power for Sound Source Localizati…

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Steered Response Power (SRP) is a widely used method for the task of sound source localization using microphone arrays, showing satisfactory localization performance on many practical scenarios. However, its performance is diminished under…

声音 · 计算机科学 2024-03-15 Eric Grinstein , Toon van Waterschoot , Mike Brookes , Patrick A. Naylor

We propose an advance Steered Response Power (SRP) method for localizing multiple sources. While conventional SRP performs well in adverse conditions, it remains to struggle in scenarios with closely neighboring sources, resulting in…

音频与语音处理 · 电气工程与系统科学 2024-05-21 Wei-Ting Lai , Lachlan Birnie , Xingyu Chen , Amy Bastine , Thushara D. Abhayapala , Prasanga N. Samarasinghe

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,…

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…

音频与语音处理 · 电气工程与系统科学 2026-02-10 Kaspar Müller , Markus Buck , Simon Doclo , Jan Østergaard , Tobias Wolff

The steered response power (SRP) is a popular approach to compute a map of the acoustic scene, typically used for acoustic source localization. The SRP map is obtained as the frequency-weighted output power of a beamformer steered towards a…

音频与语音处理 · 电气工程与系统科学 2024-11-25 Thomas Dietzen , Enzo De Sena , Toon van Waterschoot

Estimation of the direction-of-arrival (DOA) of sound sources is an important step in sound field analysis. Rigid spherical microphone arrays allow the calculation of a compact spherical harmonic representation of the sound field. A basic…

声音 · 计算机科学 2018-03-06 Mert Burkay Coteli , Orhun Olgun , Huseyin Hacihabiboglu

The steered response power (SRP) approach to acoustic source localization computes a map of the acoustic scene from the frequency-weighted output power of a beamformer steered towards a set of candidate locations. Equivalently, SRP may be…

音频与语音处理 · 电气工程与系统科学 2022-11-21 Thomas Dietzen , Enzo De Sena , Toon van Waterschoot

This short paper presents an efficient, flexible implementation of the SRP-PHAT multichannel sound source localization method. The method is evaluated on the single-source tasks of the LOCATA 2018 development dataset, and an associated…

The steered response power phase transform (SRP-PHAT) is a beamformer method very attractive in acoustic localization applications due to its robustness in reverberant environments. This paper presents a spatial grid design procedure,…

声音 · 计算机科学 2018-03-08 Daniele Salvati , Carlo Drioli , Gian Luca Foresti

Multiple moving sound source localization in real-world scenarios remains a challenging issue due to interaction between sources, time-varying trajectories, distorted spatial cues, etc. In this work, we propose to use deep learning…

声音 · 计算机科学 2022-02-17 Bing Yang , Hong Liu , Xiaofei Li

An analysis of the relationship between the bandwidth of acoustic signals and the required resolution of steered-response power phase transform (SRP-PHAT) maps used for sound source localization is presented. This relationship does not rely…

This paper introduces a new localization method called SVD-PHAT. The SVD-PHAT method relies on Singular Value Decomposition of the SRP-PHAT projection matrix. A k-d tree is also proposed to speed up the search for the most likely direction…

音频与语音处理 · 电气工程与系统科学 2019-02-12 Francois Grondin , James Glass

Human-robot interaction in natural settings requires filtering out the different sources of sounds from the environment. Such ability usually involves the use of microphone arrays to localize, track and separate sound sources online.…

音频与语音处理 · 电气工程与系统科学 2018-12-04 Francois Grondin , Francois Michaud

Accurately estimating the direction-of-arrival (DOA) of a speech source using a compact microphone array (CMA) is often complicated by background noise and reverberation. A commonly used DOA estimation method is the steered response power…

音频与语音处理 · 电气工程与系统科学 2024-09-04 Klaus Brümann , Simon Doclo

This paper introduces a modification of phase transform on singular value decomposition (SVD-PHAT) to localize multiple sound sources. This work aims to improve localization accuracy and keeps the algorithm complexity low for real-time…

音频与语音处理 · 电气工程与系统科学 2019-07-01 Francois Grondin , James Glass

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,…

声音 · 计算机科学 2025-05-28 Yiyuan Yang , Shitong Xu , Niki Trigoni , Andrew Markham

In this paper, we present a new single sound source DOA estimation and tracking system based on the well-known SRP-PHAT algorithm and a three-dimensional Convolutional Neural Network. It uses SRP-PHAT power maps as input features of a fully…

音频与语音处理 · 电气工程与系统科学 2020-12-18 David Diaz-Guerra , Antonio Miguel , Jose R. Beltran

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…

Time delay estimation is essential in Acoustic Source Localization (ASL) systems. One of the most used techniques for this purpose is the Generalized Cross Correlation (GCC) between a pair of signals and its use in Steered Response Power…

信号处理 · 电气工程与系统科学 2020-06-11 Juan Manuel Vera-Diaz , Daniel Pizarro , Javier Macias-Guarasa

This paper introduces a variant of the Singular Value Decomposition with Phase Transform (SVD-PHAT), named Difference SVD-PHAT (DSVD-PHAT), to achieve robust Sound Source Localization (SSL) in noisy conditions. Experiments are performed on…

音频与语音处理 · 电气工程与系统科学 2019-07-31 Francois Grondin , James Glass
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