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 q...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 exceedance(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.展开更多
When designing and optimizing the hull of vehicles,their sound quality needs to be considered,which greatly depends on the psychoacoustic parameters.However,the traditional psychoacoustic calculation method does not c...When designing and optimizing the hull of vehicles,their sound quality needs to be considered,which greatly depends on the psychoacoustic parameters.However,the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure,even the loudness which is most related to the auditory periphery.In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality,this paper first carried out the vehicle internal noise test to obtain the experimental samples.Then,the physiological loudness was predicted based on an established human ear physiological model,and the noise evaluation vector was constructed by combining the remaining four psychoacoustic parameters.Finally,the evaluation vector was fitted into the subjective evaluation results of vehicle interior noise by a deep neural network.The results show that our proposed method can estimate the human subjective perception of vehicle interior noise well.展开更多
基金supported by the National Natural Science Found-ation of China(No.5217051173)。
文摘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 exceedance(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.
基金supported by the National Natural Science Foundation of China(Nos.52275296,52172371,and 52274162)the Top-Notch Academic Programs Project of Jiangsu Higher Education Institutions,the Priority Academic Program Development of Jiangsu Higher Education Institutions,and Jiangsu Provincial Postgraduate Practice Innovation Plan(No.SJCX23_1283).
文摘When designing and optimizing the hull of vehicles,their sound quality needs to be considered,which greatly depends on the psychoacoustic parameters.However,the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure,even the loudness which is most related to the auditory periphery.In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality,this paper first carried out the vehicle internal noise test to obtain the experimental samples.Then,the physiological loudness was predicted based on an established human ear physiological model,and the noise evaluation vector was constructed by combining the remaining four psychoacoustic parameters.Finally,the evaluation vector was fitted into the subjective evaluation results of vehicle interior noise by a deep neural network.The results show that our proposed method can estimate the human subjective perception of vehicle interior noise well.
