Demo: Sound localization using smartphone

Smartphones based sound direction estimation can be helpful in many situations. For example, a deaf person in a meeting room can look at the smartphone to find out which direction the speaker is in and then he can look in appropriate direction to read lips/gestures of the speaker. Many smartphones t...

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Main Authors: SHARMA, Amit, LEE, Youngki
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Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/3282
https://ink.library.smu.edu.sg/context/sis_research/article/4284/viewcontent/9924869.pdf
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spelling sg-smu-ink.sis_research-42842018-03-09T06:49:54Z Demo: Sound localization using smartphone SHARMA, Amit LEE, Youngki Smartphones based sound direction estimation can be helpful in many situations. For example, a deaf person in a meeting room can look at the smartphone to find out which direction the speaker is in and then he can look in appropriate direction to read lips/gestures of the speaker. Many smartphones today come with two built-in microphones located at physically different positions. This difference in position can cause time difference of arrival (TDOA) of sound on both microphones. Value of TDOA for two microphones may vary depending on the location of sound source with respect to the smartphone. This time difference of arrival can be used to estimate incoming sound direction with respect to smartphone. Challenges involved in angle estimation arise mainly because of heterogeneous characteristics of different types of sounds, small distance between two microphones on the smart-phone and different positions of microphones on different devices. In this work we implemented TDOA based angle estimation for white noise as sound source. We look at this work as a first step towards achieving application described earlier. 2016-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3282 info:doi/10.1145/2938559.2938584 https://ink.library.smu.edu.sg/context/sis_research/article/4284/viewcontent/9924869.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Software Engineering
spellingShingle Computer Sciences
Software Engineering
SHARMA, Amit
LEE, Youngki
Demo: Sound localization using smartphone
description Smartphones based sound direction estimation can be helpful in many situations. For example, a deaf person in a meeting room can look at the smartphone to find out which direction the speaker is in and then he can look in appropriate direction to read lips/gestures of the speaker. Many smartphones today come with two built-in microphones located at physically different positions. This difference in position can cause time difference of arrival (TDOA) of sound on both microphones. Value of TDOA for two microphones may vary depending on the location of sound source with respect to the smartphone. This time difference of arrival can be used to estimate incoming sound direction with respect to smartphone. Challenges involved in angle estimation arise mainly because of heterogeneous characteristics of different types of sounds, small distance between two microphones on the smart-phone and different positions of microphones on different devices. In this work we implemented TDOA based angle estimation for white noise as sound source. We look at this work as a first step towards achieving application described earlier.
format text
author SHARMA, Amit
LEE, Youngki
author_facet SHARMA, Amit
LEE, Youngki
author_sort SHARMA, Amit
title Demo: Sound localization using smartphone
title_short Demo: Sound localization using smartphone
title_full Demo: Sound localization using smartphone
title_fullStr Demo: Sound localization using smartphone
title_full_unstemmed Demo: Sound localization using smartphone
title_sort demo: sound localization using smartphone
publisher Institutional Knowledge at Singapore Management University
publishDate 2016
url https://ink.library.smu.edu.sg/sis_research/3282
https://ink.library.smu.edu.sg/context/sis_research/article/4284/viewcontent/9924869.pdf
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