Urban sound tagging with spatiotemporal context

Sound classification is useful for city planner to understand the noise profiles of urban environments such as traffic noise, construction noise, and community noise in order to mitigate urban noise pollution. Metadata such as when and where a sound event occurs are potentially useful for urban soun...

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Main Author:	Toh, Timothy Kai Siong
Other Authors:	Gan Woon Seng
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2022
Subjects:	Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/157512
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1575122023-07-07T19:16:38Z Urban sound tagging with spatiotemporal context Toh, Timothy Kai Siong Gan Woon Seng School of Electrical and Electronic Engineering EWSGAN@ntu.edu.sg Engineering::Electrical and electronic engineering Sound classification is useful for city planner to understand the noise profiles of urban environments such as traffic noise, construction noise, and community noise in order to mitigate urban noise pollution. Metadata such as when and where a sound event occurs are potentially useful for urban sound classification. In this project, you are going to investigate the usages of metadata such as timestamps and locations of the sound events in order to improve the accuracy of the sound classification system in urban environment setting. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-19T00:22:31Z 2022-05-19T00:22:31Z 2022 Final Year Project (FYP) Toh, T. K. S. (2022). Urban sound tagging with spatiotemporal context. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157512 https://hdl.handle.net/10356/157512 en A3078-211 application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Electrical and electronic engineering
spellingShingle	Engineering::Electrical and electronic engineering Toh, Timothy Kai Siong Urban sound tagging with spatiotemporal context
description	Sound classification is useful for city planner to understand the noise profiles of urban environments such as traffic noise, construction noise, and community noise in order to mitigate urban noise pollution. Metadata such as when and where a sound event occurs are potentially useful for urban sound classification. In this project, you are going to investigate the usages of metadata such as timestamps and locations of the sound events in order to improve the accuracy of the sound classification system in urban environment setting.
author2	Gan Woon Seng
author_facet	Gan Woon Seng Toh, Timothy Kai Siong
format	Final Year Project
author	Toh, Timothy Kai Siong
author_sort	Toh, Timothy Kai Siong
title	Urban sound tagging with spatiotemporal context
title_short	Urban sound tagging with spatiotemporal context
title_full	Urban sound tagging with spatiotemporal context
title_fullStr	Urban sound tagging with spatiotemporal context
title_full_unstemmed	Urban sound tagging with spatiotemporal context
title_sort	urban sound tagging with spatiotemporal context
publisher	Nanyang Technological University
publishDate	2022
url	https://hdl.handle.net/10356/157512
_version_	1772825528617664512

Urban sound tagging with spatiotemporal context

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