Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150286
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dc.contributor.authorCher, Jensenen_US
dc.date.accessioned2021-06-09T09:44:12Z-
dc.date.available2021-06-09T09:44:12Z-
dc.date.issued2021-
dc.identifier.citationCher, J. (2021). What is that sound? An automated sound classification system using machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150286en_US
dc.identifier.urihttps://hdl.handle.net/10356/150286-
dc.description.abstractIn modern times nowadays, the need for automation is becoming more prevalent as companies in the Information technology sector seek to produce automated solutions to improve their customers’ performance and productivity. One of the demands of today’s is the automation of audio classification, which can differentiate different genres of sounds. The project aims to create and investigate machine learning models and algorithms with the capability to detect and classify different types of sound based on their audio features. In this report, machine learning models such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and a combination of both Convolutional Recurrent Neural Network (CRNN) were applied as researches has been done upon CNN and RNN individually and combination of both, the researchers found the combination of both produces better results. A combination of the MFCC feature set and the machine learning models mentioned was chosen to be the main methodology idea for this project. The overall outcome of this project was satisfactory with an accuracy achieving 72% classification results on the CRNN model. Improvements to the dataset and the models can still be made to enhance and upgrade the models’ accuracy, efficiency, and performance.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA3015-201en_US
dc.subjectEngineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.titleWhat is that sound? An automated sound classification system using machine learningen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorAndy Khong W Hen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailAndyKhong@ntu.edu.sgen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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