汽车非平稳车内噪声时变综合烦躁度客观评价方法

Objective Evaluation Method for the Time-varying Annoyance of Automotive Interior Non-stationary Noise

与汽车非平稳车内噪声时变声品质主观评价序列的平滑性相反,传统客观评价模型输出的预测序列是较为波动的。本文在传统模型建立的基础上,利用Savitzky-Golay滤波器对预测序列进行时域平滑后处理。检验结果表明,相比于预测序列,时序平滑评价序列对车内噪声时变综合烦躁度的评价性能更高,预测精度(误差均方根值降低11.40%)、稳定性(误差方差降低31.50%)与一致性(Pearson相关系数提高9.95%)均得到较大提高。在传统模型基础上对预测序列进行时域平滑后处理,是具有更高精度的时变综合烦躁度客观评价方法。

Contrary to the smoothness of the time-varying subjective sound quality evaluation(SQE)sequence of the vehicle interior non-stationary noise,the prediction sequence output by the traditional objective evaluation model fluctuates rapidly in the time domain.In this paper,based on the traditional time-varying annoyance(TVA)evaluation model of automotive interior non-stationary noise,the Savitzky-Golay filter(SG filter)was used to smooth the prediction sequence in time domain.The results show that compared with the prediction sequence,the smoothed evaluation sequence has a better prediction performance.It improves the prediction accuracy by deceasing the root mean square of prediction errors by 11.40%,improves the stability by decreasing the variance by 31.50%,and improves the consistency by increasing the Pearson correlation coefficient by 9.95%.It is concluded that on the basis of the traditional model,the prediction sequence smoothed in the time domain is an better objective evaluation method for the TVA of automotive interior non-stationary noise with higher prediction accuracy.