Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157512
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dc.contributor.authorToh, Timothy Kai Siongen_US
dc.date.accessioned2022-05-19T00:22:31Z-
dc.date.available2022-05-19T00:22:31Z-
dc.date.issued2022-
dc.identifier.citationToh, T. K. S. (2022). Urban sound tagging with spatiotemporal context. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157512en_US
dc.identifier.urihttps://hdl.handle.net/10356/157512-
dc.description.abstractSound 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA3078-211en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleUrban sound tagging with spatiotemporal contexten_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorGan Woon Sengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailEWSGAN@ntu.edu.sgen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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