scholarly journals Psychoacoustic Evaluation Model on the Luxury of Sound Quality in Vehicle Interior Noise

2013 ◽  
Vol 5 (22) ◽  
pp. 5325-5329 ◽  
Author(s):  
Fang Li ◽  
Yanyan Zuo
Keyword(s):  
Evaluation Model ◽  
Sound Quality ◽  
Interior Noise ◽  
Vehicle Interior ◽  
Vehicle Interior Noise

A New Method of Sound Quality Analysis Based on Design of Experiment

2016 ◽  
Vol 30 (05) ◽  
pp. 1658001
Author(s):  
Gangping Tan ◽  
Gang Jie ◽  
Ming Cao
Keyword(s):  
Active Noise Control ◽  
Objective Evaluation ◽  
Sound Quality ◽  
Interior Noise ◽  
Quality Analysis ◽  
Optimum Level ◽  
Optimization Strategy ◽  
Vehicle Interior ◽  
Band Noise ◽  
Vehicle Interior Noise

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.

Sound Quality Evaluation for the Vehicle HVAC System After Active Noise Control

2008 ◽  
Author(s):  
In Hyung Yang ◽  
O. Cheol Kwon ◽  
Jung Youn Lee ◽  
Jae-Eung Oh
Keyword(s):  
Regression Model ◽  
Noise Control ◽  
Subjective Evaluation ◽  
Active Noise Control ◽  
Sound Quality ◽  
Interior Noise ◽  
Hvac System ◽  
Vehicle Interior ◽  
Active Noise ◽  
Vehicle Interior Noise

The reduction of the Vehicle interior noise has been the main interest of NVH engineers. The driver’s perception on the vehicle noise is affected largely by psychoacoustic characteristic of the noise as well as the SPL. In particular, the HVAC sound among the vehicle interior noise has been reflected sensitively in the side of psychology. In previous study, we have developed to verify identification of source for the vehicle HVAC system through multiple-dimensional spectral analysis. Also we carried out objective assessments on the vehicle HVAC noises and subjective assessments have been already performed with 30 subjects. In this study, the linear regression models were obtained for the subjective evaluation and the sound quality metrics. The regression procedure also allows you to produce diagnostic statistics to evaluate the regression estimates including appropriation and accuracy. Appropriation of regression model is necessary to R2 value and F-value. And testing for regression model is necessary to Independence, Homoscedesticity and Normality. To enhance sound quality, we applied active noise control (ANC) which is effective in the low-frequency bandwidth. Primary noise of the HVAC system is less than 500Hz. As a result of ANC application, sound quality is improved by more quiet, powerful, expensive, smooth.

SOUND QUALITY ANALYSIS AND PREDICTION OF VEHICLE INTERIOR NOISE BASED ON GREY SYSTEM THEORY

2012 ◽  
Vol 11 (02) ◽  
pp. 1250016 ◽  
Author(s):  
SHUMING CHEN ◽  
DENGFENG WANG ◽  
JIE LIANG
Keyword(s):  
System Theory ◽  
Prediction Models ◽  
Subjective Evaluation ◽  
Sound Quality ◽  
Grey System Theory ◽  
Interior Noise ◽  
Quality Analysis ◽  
Gray Relational Analysis ◽  
Vehicle Interior ◽  
Vehicle Interior Noise

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.

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