Comparison of Spectrograms for Classification of Vehicles from Traffic Audio-Reference-Cited by-同舟云学术

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Comparison of Spectrograms for Classification of Vehicles from Traffic Audio

Published:2024-07-20 Issue: Volume: Page:12-17
ISSN:
Container-title:2024 IEEE Symposium on Wireless Technology & Applications (ISWTA)
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Author:

Shariff Khairul Khaizi Mohd¹,Haron Muhammad Adib²,Ali Megat Syahirul Amin Megat¹,Yassin Ihsan Mohd¹,Azami Muhammad Hasif²,Kechik Mustapha Awang³

Affiliation:

1. Microwave Research Institute, Universiti Teknologi MARA 40450 Shah Alam Selangor,Malaysia

2. School of Electrical Engineering College of Engineering Universiti Teknologi MARA 40450 Shah Alam Selangor.,Malaysia

3. Universiti Putra Malaysia,Faculty of Science,Department of Physics,Serdang,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10651576/10651641/10651848.pdf?arnumber=10651848

Reference21 articles.

1. Vehicle detection and classification from acoustic signal using ANN and KNN

2. Fast Classification for Identification of Vehicles on the Road from Audio Data of Pedestrian’s Mobile Phone

3. Multimodal vehicle type classification using convolutional neural network and statistical representations of MFCC

4. Audio Feature Extraction for Vehicle Engine Noise Classification

5. Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications

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