Title: Correlation analysis between subjective and objective evaluation data of automobile horn sound quality

Authors: Zhendong Zhao

Addresses: School of Automobile and Rail Transit, Nanjing Institute of Technology, No. 1. Hongjing Road, Jiangning District, Nanjing 211167, China

Abstract: Correlation analysis of subjective and objective evaluation for automobile sound quality is an important topic in automobile technology fields. Considering the theoretical characteristics of grey system method and neural network theory, grey relational analysis was applied to analyse the contributions of the variables of objective evaluation to subjective evaluation using the existing subjective and objective evaluation data of automobile horn sound quality. Then the main objective variables affecting the subjective feeling were determined, which include sound pressure level, A-weighted sound pressure level and sharpness. Back-propagation neural network model was designed and established as a quantitative expression between subjective and objective evaluation data. The simulation results of neural network model accorded with the original value of the subjective evaluation data very well, which illustrated the reliability of this method.

Keywords: subjective evaluation; grey relational analysis; neural network; automobile horn; sound quality; vehicle; noise; objective evaluation; correlation analysis; simulation.

DOI: 10.1504/IJVNV.2017.089513

International Journal of Vehicle Noise and Vibration, 2017 Vol.13 No.3/4, pp.241 - 251

Received: 16 Aug 2016
Accepted: 07 Jul 2017
Published online: 29 Jan 2018 *

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