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Licensed Unlicensed Requires Authentication Published by De Gruyter 2017

The Co-Pilot Position of Vehicle Noise Quality Prediction Based on SVM

From the book Materials in Environmental Engineering

  • Xiao-Juan Zhang and Yan Liu

Abstract

In three different types of domestic cars for example, the paper studied interior noise sound quality when engine idle at a constant speed in different speed operation. Noise test using HEAD Acoustics multi-channel noise test system, sound quality subjective evaluation experiment was carried out in a semi-anechoic. Vehicle sound quality was studied using support vector machine (SVM) model, the results showed that car interior sound quality mainly by four psycho-acoustical parameters: A-weighted sound pressure level, loudness, roughness and jitter degree. The support vector machine forecasting method can guarantee the accuracy of prediction results for small sample data, which has higher accuracy in predicting, error lower.

© 2017 Walter de Gruyter GmbH, Berlin/Munich/Boston
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