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Vehicle interior sound quality evaluation using energy based features

International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.

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Bibliographic Details
Main Authors: Allan, Melvin Andrew, Paulraj, Murugesa Pandian, Prof. Dr., Sazali, Yaacob, Prof. Dr.
Other Authors: allanmelvin.andrew@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Vehicle Noise Comfort Index (VNCI)
Interior noise comfort
Car interior
Artificial neural network
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21557
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spelling my.unimap-215572012-10-29T03:34:34Z Vehicle interior sound quality evaluation using energy based features Allan, Melvin Andrew Paulraj, Murugesa Pandian, Prof. Dr. Sazali, Yaacob, Prof. Dr. allanmelvin.andrew@gmail.com paul@unimap.edu.my s.yaacob@unimap.edu.my Vehicle Noise Comfort Index (VNCI) Interior noise comfort Car interior Artificial neural network International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia. The comfort in the car interior is already become a need for the passengers and the buyers. Due to high competition in car industries, all the car manufacturers are concentrating in improving the interior noise comfort of the car. Vehicle Noise Comfort Index (VNCI) has been developed recently to evaluate the sound characteristics of passenger cars. VNCI indicates the interior vehicle noise comfort using a numeric scale from 1 to 10. Most of the researches are relating the vehicle interior sound quality to psychoacoustics sound metrics such as loudness and sharpness for the frequency between 20 Hz to 20 kHz. In this present paper, a vehicle comfort level indication is proposed to detect the comfort level in cars using artificial neural network. Determination of vehicle comfort is important because continuous exposure to the noise and vibration leads to health problems for the driver and passengers. The database of sound samples from 15 local cars is used. The sound samples are taken from two states, while the car is in stationary condition and while it is moving at a constant speed. The energy level is extracted from the signals. The correlation between the subjective and the objective evaluation is also tested. The relationship between the VNCI and the energy level is modelled using a feed-forward neural network trained by back-propagation algorithm.   2012-10-29T03:34:33Z 2012-10-29T03:34:33Z 2010-10-16 Working Paper 978-967-5760-03-7 http://hdl.handle.net/123456789/21557 en Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010) Universiti Malaysia Perlis (UniMAP) Centre for Graduate Studies
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 Noise Comfort Index (VNCI)
Interior noise comfort
Car interior
Artificial neural network
spellingShingle Vehicle Noise Comfort Index (VNCI)
Interior noise comfort
Car interior
Artificial neural network
Allan, Melvin Andrew
Paulraj, Murugesa Pandian, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Vehicle interior sound quality evaluation using energy based features
description International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.
author2 allanmelvin.andrew@gmail.com
author_facet allanmelvin.andrew@gmail.com
Allan, Melvin Andrew
Paulraj, Murugesa Pandian, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
format Working Paper
author Allan, Melvin Andrew
Paulraj, Murugesa Pandian, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
author_sort Allan, Melvin Andrew
title Vehicle interior sound quality evaluation using energy based features
title_short Vehicle interior sound quality evaluation using energy based features
title_full Vehicle interior sound quality evaluation using energy based features
title_fullStr Vehicle interior sound quality evaluation using energy based features
title_full_unstemmed Vehicle interior sound quality evaluation using energy based features
title_sort vehicle interior sound quality evaluation using energy based features
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21557
_version_ 1643793411094872064
score 13.214268

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