Files in this item

FilesDescriptionFormat

application/pdf

application/pdfCHEN-THESIS-2019.pdf (3MB)Restricted Access
(no description provided)PDF

Description

Title:Source localization from voice signals
Author(s):Chen, Daguan
Advisor(s):Choudhury, Romit Roy
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Sound
localization
microphone array
AoA
sound source localization
Abstract:Indoor localization remains an open field of research, due to its utility and unresolved challenges. This thesis focuses on sound source localization using a small microphone array. Practically speaking, the aim is to allow smart voice assistants, such as Amazon Echo or Google Home, which possess a small array of microphones, to locate human speakers by determining the location of their voice in space. Although such voice assistants are currently capable of determining the azimuthal angle of arrival (AoA) of the human voice, they cannot determine the range of the speaker. This thesis addresses the two-dimensional localization problem: when a user speaks to an Amazon Echo, our goal is to be able to plot their location as a point on a bird’s eye view of the indoor floorplan. Our proposed solution, VoLoc, realizes two-dimensional sound source localization by determining the AoA of not only the direct path, but also one multipath. With two AoA directions, VoLoc is able to use inverse ray-tracing to find the sound source’s location in 2D space. One of the core challenges is to accurately distinguish the AoA of at least one multipath. To address the challenge, we introduce a new algorithm, iterative align-and-cancel. We observe median location accuracies of around 0.4m, across various real-world environments such as apartments, offices, and meeting rooms.
Issue Date:2019-04-24
Type:Text
URI:http://hdl.handle.net/2142/105262
Rights Information:Copyright 2019 Daguan Chen
Date Available in IDEALS:2019-08-23
Date Deposited:2019-05


This item appears in the following Collection(s)

Item Statistics