融入时频能量特征的车内噪声声品质评价方法

为提升车内噪声声品质评价的准确性，建立了一种融入时频能量特征的车内噪声声品质评价方法。该方法首先对车内噪声信号进行变分模态分解获得本征模态分量，再基于Hilbert变换得到各分量的瞬时强度及计权能量，进而获得信号的时频能量特征；在此基础上，建立了以心理声学客观参量和时频能量特征为联合输入的遗传算法优化反向传播神经网络声品质评价模型。应用建立方法对某汽车车内噪声声品质进行评价，其结果与主观评价结果的相关度达93.7%、相对误差小于8.0%,该车车内噪声声品质被准确评价。建立的融入时频能量特征的车内噪声声品质评价方法准确性高，在汽车声品质开发实践中具有良好应用前景。

Sound quality evaluation method of vehicle interior noise basedon time-frequency energy characteristics

In order to accurately evaluate the interior noise, a sound quality evaluation method of interior noise based on time-frequencyenergy characteristics is proposed. First, the noise signal is adaptively decomposed by variational modal decomposition, and a series ofintrinsic modal function components are obtained. Then, the instantaneous intensity and weighted energy of each component are obtainedthrough Hilbert transform, which are used as the time-frequency energy characteristics of the noise signal. On this basis, a sound qualityevaluation model based on genetic algorithm optimal back propagation (GA-BP) neural network is established with the time-frequencyenergy characteristics and the psychoacoustic parameters as the input. The proposed method is used to evaluate the interior noise of avehicle. The correlation between the results and the subjective evaluation results reach 93. 7%, and the relative error is less than 8. 0%,which accurately reflects the sound quality of the vehicle interior noise. The proposed method enjoys a high accuracy and has a goodapplication prospect in the practice of vehicle sound quality development.