Objective Quantification of Small Motor Sound Quality Based on Psychoacoustic Metrics

• 作者: Tao Huang Zhi'en Liu Binyu Zhang Jinyan Bi Lipin Xie
• 来源期刊: 北京理工大学学报（英文版）
• 年，卷（期）: 2022,（2）
• 页码范围: 208-223
• 页数: 16页
• 语种: 英文
• DOI: 10.15918/j.jbit1004-0579.2022.043

摘要

With the widespread application of electrification and intelligence of automobiles,the number of electric devices with small DC motors in automobiles has gradually increased,and the in-terior of electric vehicles is quieter. The sound quality (SQ) of small motor directly affects the pas-senger experience. Therefore,the research on the SQ of small motor is of great significance. In this paper,the objective quantification of small motor sound quality was investigated based on tradi-tional psychoacoustic metrics. The time-frequency characteristics of sound signal was analyzed to quantify the subjective perception caused by the sound of small motor. And a new psychoacoustic metrics of objective evaluation which were suitable for small motor SQ evaluation were proposed,namely specific loudness energy (SLE),specific prominence ratio index (SPRI),relative pitch ex-ceedance (RPE) and tremolo index (TI). Then,two objective evaluation models of small motor SQ were established to characterize the multi-dimensional subjective perception attributes by using multiple linear regression (MLR) and support vector regression (SVR) respectively,which can be used for the prediction and evaluation of the small motor SQ. The results show that the prediction accuracy of the model established by SVR method was higher than that of MLR,and SVR has stronger robustness. The objective evaluation model of small motors SQ established in this study is of great importance for improving the sound quality of small motors.