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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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Main Authors: Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Abdul Hamid, Adom, Prof., Dr., Sathishkumar, Sundararaj
Other Authors: sathishy2j@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Vehicle sound
Discrete Fourier Transformation
Probabilistic neural network (PNN)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/29364
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spelling 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)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Vehicle sound
Discrete Fourier Transformation
Probabilistic neural network (PNN)
spellingShingle 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
score 13.209306

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