Comparison of Spectrograms for Classification of Vehicles from Traffic Audio

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Comparison of Spectrograms for Classification of Vehicles from Traffic Audio

Traditional vision-based traffic monitoring struggles with cost and low-light conditions. This research explores audio-based vehicle classification using deep learning to address these limitations. This exploration investigates the impact of different spectrogram types namely Short-time Fourier Tran...

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Bibliographic Details
Published in:	IEEE Symposium on Wireless Technology and Applications, ISWTA
Main Author:	Shariff K.K.M.; Haron M.A.; Ali M.S.A.M.; Yassin I.M.; Azami M.H.; Kechik M.A.
Format:	Conference paper
Language:	English
Published:	IEEE Computer Society 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203799017&doi=10.1109%2fISWTA62130.2024.10651848&partnerID=40&md5=29d22ec0b8c2c502aa2ee0af5e1a00eb

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