Feature extraction design for embedded neural network urban sound classifier
Urban sound research has become a hot topic in recent years for city growth observation and surveillance application through noise source identification. However, the sound identification is challenging due to the multiple sound sources that are blended. There are also new sounds that are unclassifi...
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Main Author: | |
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Format: | Thesis |
Language: | English |
Published: |
2021
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Online Access: | http://eprints.utm.my/id/eprint/99482/1/LimChinShenMKE2021.pdf |
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