Source localization from voice signals

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2019

Author dc:creator

• Chen, Daguan

Contributors dc:contributor

• Choudhury, Romit Roy

• Sound
• localization
• microphone array
• AoA
• sound source localization

Statement dc:rights

• Copyright 2019 Daguan Chen

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/105262

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/105262