Classification of acoustic sound signature of moving vehicle using artificial neural network
The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...
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Universiti Malaysia Perlis (UniMAP)
2013
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| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/29364 |
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my.unimap-293642013-10-30T14:10:21Z Classification of acoustic sound signature of moving vehicle using artificial neural network Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Abdul Hamid, Adom, Prof., Dr. Sathishkumar, Sundararaj sathishy2j@yahoo.com Vehicle sound Discrete Fourier Transformation Probabilistic neural network (PNN) The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. The hearing impaired is afraid of walking along a street and living a life alone. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in outdoor. In this paper, a simple algorithm is proposed to classify the type and distance of the moving vehicles based on the sound signature. A simple experimental protocol is designed to record the vehicle sound under different environment conditions and vehicle speeds. These recorded sound signals are processed and the Discrete Fourier Transformation (DFT) features are extracted. The features are then associated with the corresponding vehicle distance and vehicle type to form the final feature vectors. Two probabilistic neural network (PNN) models are developed to classify the distance and the type of vehicle. The effectiveness of the network is validated through stimulation. 2013-10-30T14:10:21Z 2013-10-30T14:10:21Z 2012-06-18 Working Paper p. 1148 - 1154 978-967-5760-11-2 http://hdl.handle.net/123456789/29364 en Proceedings of The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP) |
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English |
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Vehicle sound Discrete Fourier Transformation Probabilistic neural network (PNN) |
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Vehicle sound Discrete Fourier Transformation Probabilistic neural network (PNN) Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Abdul Hamid, Adom, Prof., Dr. Sathishkumar, Sundararaj Classification of acoustic sound signature of moving vehicle using artificial neural network |
| description |
The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. |
| author2 |
sathishy2j@yahoo.com |
| author_facet |
sathishy2j@yahoo.com Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Abdul Hamid, Adom, Prof., Dr. Sathishkumar, Sundararaj |
| format |
Working Paper |
| author |
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Abdul Hamid, Adom, Prof., Dr. Sathishkumar, Sundararaj |
| author_sort |
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. |
| title |
Classification of acoustic sound signature of moving vehicle using artificial neural network |
| title_short |
Classification of acoustic sound signature of moving vehicle using artificial neural network |
| title_full |
Classification of acoustic sound signature of moving vehicle using artificial neural network |
| title_fullStr |
Classification of acoustic sound signature of moving vehicle using artificial neural network |
| title_full_unstemmed |
Classification of acoustic sound signature of moving vehicle using artificial neural network |
| title_sort |
classification of acoustic sound signature of moving vehicle using artificial neural network |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2013 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/29364 |
| _version_ |
1643795651905978368 |