竞品车急加速进气噪声品质评价方法研究

从主客观评价角度出发，针对竞品车急加速进气噪声建立了声品质物理评价模型。通过测试竞品车急加速进气噪声，对获取的声音样本采用等级评分法进行主观评价与典型声品质客观参量的计算。利用相关分析与主成分分析对获取的主客观指标的关联性进行研究，并分别以相关分析和主成分分析结果为输入建立反向传播（Back Propagation，BP）神经网络模型。分析结果表明：客观参量存在信息的重叠时，主成分分析能够更好地反映声音样本指标间的关联性，实现简化神经网络输入并保证预测精度的效果。

Research on quality evaluation method of rapidly accelerating intake noise in competitive vehicles

From the perspective of subjective and objective evaluation, physical evaluation models of sound quality are established for the rapidly accelerating intake noise in competitive vehicles. By testing the rapidly accelerating intake noise in competitive vehicles, the grade scoring method is used to perform subjective evaluation of the acquired sound samples and the typical objective parameters of their sound qualities are calculated. Correlation analysis and principal component analysis are used to study the relevance of the obtained subjective and objective indicators, and the back propagation (BP) neural network model is established with the results of correlation analysis and principal component analysis. The analysis results show that when there is information overlap in objective parameters, the principal component analysis can better reflect the correlation between the sound sample indicators to simplify the neural network input and ensure prediction accuracy.