scholarly journals Sound Quality Evaluation of Vehicle Interior Noise Using Virtual Sound Quality Analysis

Author(s):  
Sang-wook Kang
Author(s):  
Gangping Tan ◽  
Gang Jie ◽  
Ming Cao

An optimization strategy of sound quality was proposed to improve sound quality inside a vehicle. The frequency of vehicle interior noise was divided into sub-bands by equivalent rectangular bandwidth (ERB) in the frequency domain, and the intensity of sub-band noise located in the mid-low frequency can be modified by using the measure of active noise control (ANC) in order to analyze its influence on the sound quality of original noise. Orthogonal experiments of vehicle interior noise were conducted according to experimental design. A model of sound quality objective evaluation (SQOE) was proposed as an experimental index. The role of sub-band on the model of SQOE was analyzed at different speeds so as to achieve the optimum level, optimum combination of sound quality and main factors. The results, obtained by implementing the optimization strategy of sound quality, were verified by means of tests. By validation, it showed that optimum sound quality can be achieved by changing the intensity of sub-band noise.


2012 ◽  
Vol 11 (02) ◽  
pp. 1250016 ◽  
Author(s):  
SHUMING CHEN ◽  
DENGFENG WANG ◽  
JIE LIANG

This paper presents a novel effective methodology for sound quality analysis and prediction of vehicle interior noise using gray system theory. Four objective psychoacoustic parameters selected to evaluate acoustic performance of vehicle interior environment are loudness, sharpness, roughness, and fluctuation. Subjective evaluation is presented using paired comparison method, and Bradley–Terry model is also created. The relationship between subjective evaluation and psychoacoustic parameters is determined by using gray relational analysis. Meanwhile, the correlation among psychoacoustic parameters is also revealed. Sound quality prediction models are created based on GM (0, N) and GM (1, N) model. The prediction results show that GM (1, N) model is more capable than GM (0, N) model for prediction of sound quality. Thus, the analysis and prediction results confirm that the proposed method in this study can be a useful tool to analyze and predict sound quality of the vehicle interior noise.


1993 ◽  
Author(s):  
Hideki Murata ◽  
Hitoshi Tanaka ◽  
Hiroyuki Takada ◽  
Yoshihiro Ohsasa

2021 ◽  
Vol 172 ◽  
pp. 107619
Author(s):  
Zhihua Wang ◽  
Peihai Li ◽  
Houguang Liu ◽  
Jianhua Yang ◽  
Songyong Liu ◽  
...  

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