Objective Evaluation Method for the Time-varying Annoyance of Automotive Interior Non-stationary Noise
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 auto-motive 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 predic-tion performance.It improves the prediction accuracy by deceasing the root mean square of prediction errors by 11.40%,im-proves the stability by decreasing the variance by 31.50%,and improves the consistency by increasing the Pearson correla-tion 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 pre-diction accuracy.
acousticsnon-stationary interior noise of vehiclestime-varying SQEobjective evaluation methodtime seriesSG filter