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Title: Urban sound tagging with spatiotemporal context
Authors: Toh, Timothy Kai Siong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Toh, T. K. S. (2022). Urban sound tagging with spatiotemporal context. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: A3078-211
Abstract: 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.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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