摘要
为简化乘用车车内声品质客观评价模型,从物理声学和心理声学角度出发,针对10辆典型乘用车,在精密级整车半消声室内进行了车内噪声测试,得到指定测点在多个稳态工况下的噪声信号,使用以多项式核函数为基础的主成分分析方法将11维乘用车车内声品质客观评价特征降低至4维,包括尖锐度、粗糙度、清晰度指数和优先语音干扰级,并得到了所提取的主要客观特征在不同发动机转速下的变化规律:当发动机转速达到1800 r/min附近时,尖锐度和优先语音干扰级出现峰值,粗糙度和清晰度指数出现局部极小值。
In order to simplify the objective evaluation model of passenger car interior sound quality,from the physical acoustic and psychoacoustic perspectives,the interior noise test was conducted in a precision-grade complete vehicle semi-anechoic chamber for 10 typical passenger cars,and the noise signals of the specified measurement points under multiple steady-state conditions were obtained,and the 11 dimensional objective evaluation features of passenger car interior sound quality were reduced to 4 dimensions using a principal component analysis method based on a polynomial kernel function,including sharpness,roughness,intelligibility index and priority speech interference level,and the variation patterns of the extracted objective features were obtained at different engine speeds:when the engine speed reached 1800 r/min,the peak values of sharpness and priority speech interference level appeared,and the local minimum values of roughness and intelligibility index appeared.
作者
张广秀
李文广
李维肖
李旭伟
刘海
Zhang Guangxiu;Li Wenguang;Li Weixiao;Li Xuwei;Liu Hai(China Automotive Technology and Research Center,Tianjin 300300;Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles,Tianjin 300130)
出处
《汽车技术》
CSCD
北大核心
2022年第5期11-15,共5页
Automobile Technology
基金
河北省引进留学人员资助项目(C20210505)。
关键词
车内声品质
特征提取
核主成分分析
客观评价特征
Vehicle interior sound quality
Feature extraction
Kernel principal component analysis
Objective evaluation feature
