3D sound-source localization using triangulation-based methods

The localization of sound sources in a reverberant environment, such as a classroom or industrial workspace, is an essential first step toward noise control in these spaces. Many sound source localization techniques have been developed for use with microphone arrays. A common characteristic of these...

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Main Author: Lam, Alice
Language:English
Published: University of British Columbia 2017
Online Access:http://hdl.handle.net/2429/63551
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spelling ndltd-UBC-oai-circle.library.ubc.ca-2429-635512018-01-05T17:30:11Z 3D sound-source localization using triangulation-based methods Lam, Alice The localization of sound sources in a reverberant environment, such as a classroom or industrial workspace, is an essential first step toward noise control in these spaces. Many sound source localization techniques have been developed for use with microphone arrays. A common characteristic of these techniques is that they are able to provide the direction from which the sound is coming, but not the range (i.e. the distance between the source and receiver).This thesis presents two triangulation-based methods for localizing sound sources in 3D space, including range, using a small hemispherical microphone array. Practical issues with the hemispherical array, such as source resolution and operating frequency limitations, are discussed. The first method - direct triangulation - involves taking multiple sound field measurements at different locations in the room, and then using the combined output of all receivers to triangulate the source. Direct triangulation is conceptually simple and requires no a priori knowledge of the surrounding environment, but proves cumbersome as multiple array measurements are required - this also limits its application to steady-state noise sources. The second method - image source triangulation - requires only one measurement, instead taking into account the early specular reflections from the walls of the room to create "image receivers" from which the source location can be triangulated. Image source triangulation has the advantage of only requiring one measurement and may be more suited to small spaces such as meeting rooms. However, it relies on having accurate pre-knowledge of the room geometry in relation to the microphones. Both triangulation methods are evaluated using simulations and physical in-room measurements, and are shown to be able to localize simple monopole sources in reverberant rooms. Applied Science, Faculty of Mechanical Engineering, Department of Graduate 2017-11-06T22:27:02Z 2017-11-06T22:27:02Z 2017 2018-02 Text Thesis/Dissertation http://hdl.handle.net/2429/63551 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ University of British Columbia
collection NDLTD
language English
sources NDLTD
description The localization of sound sources in a reverberant environment, such as a classroom or industrial workspace, is an essential first step toward noise control in these spaces. Many sound source localization techniques have been developed for use with microphone arrays. A common characteristic of these techniques is that they are able to provide the direction from which the sound is coming, but not the range (i.e. the distance between the source and receiver).This thesis presents two triangulation-based methods for localizing sound sources in 3D space, including range, using a small hemispherical microphone array. Practical issues with the hemispherical array, such as source resolution and operating frequency limitations, are discussed. The first method - direct triangulation - involves taking multiple sound field measurements at different locations in the room, and then using the combined output of all receivers to triangulate the source. Direct triangulation is conceptually simple and requires no a priori knowledge of the surrounding environment, but proves cumbersome as multiple array measurements are required - this also limits its application to steady-state noise sources. The second method - image source triangulation - requires only one measurement, instead taking into account the early specular reflections from the walls of the room to create "image receivers" from which the source location can be triangulated. Image source triangulation has the advantage of only requiring one measurement and may be more suited to small spaces such as meeting rooms. However, it relies on having accurate pre-knowledge of the room geometry in relation to the microphones. Both triangulation methods are evaluated using simulations and physical in-room measurements, and are shown to be able to localize simple monopole sources in reverberant rooms. === Applied Science, Faculty of === Mechanical Engineering, Department of === Graduate
author Lam, Alice
spellingShingle Lam, Alice
3D sound-source localization using triangulation-based methods
author_facet Lam, Alice
author_sort Lam, Alice
title 3D sound-source localization using triangulation-based methods
title_short 3D sound-source localization using triangulation-based methods
title_full 3D sound-source localization using triangulation-based methods
title_fullStr 3D sound-source localization using triangulation-based methods
title_full_unstemmed 3D sound-source localization using triangulation-based methods
title_sort 3d sound-source localization using triangulation-based methods
publisher University of British Columbia
publishDate 2017
url http://hdl.handle.net/2429/63551
work_keys_str_mv AT lamalice 3dsoundsourcelocalizationusingtriangulationbasedmethods
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