论文信息 - Improvement of impact noise in a passenger car utilizing sound metric based on wavelet transform

Improvement of impact noise in a passenger car utilizing sound metric based on wavelet transform

Abstract A new sound metric for impact sound is developed based on the continuous wavelet transform (CWT), a useful tool for the analysis of non-stationary signals such as impact noise. Together with new metric, two other conventional sound metrics related to sound modulation and fluctuation are also considered. In all, three sound metrics are employed to develop impact sound quality indexes for several specific impact courses on the road. Impact sounds are evaluated subjectively by 25 jurors. The indexes are verified by comparing the correlation between the index output and results of a subjective evaluation based on a jury test. These indexes are successfully applied to an objective evaluation for improvement of the impact sound quality for cases where some parts of the suspension system of the test car are modified.

[1] Martin T. Hagan,et al. Neural network design , 1995 .

[2] Philipp Sellerbeck,et al. Improving Diesel Sound Quality on Engine Level and Vehicle Level - A Holistic Approach , 2007 .

[3] Hugo Fastl,et al. Psychoacoustics: Facts and Models , 1990 .

[4] T. G. Kim,et al. Characterization of an axle-gear whine sound in a sports utility vehicle and its objective evaluation based on synthetic sound technology and an artificial neural network , 2008 .

[5] S.-K. Lee,et al. The application of artificial neural networks to the characterization of interior noise booming in passenger cars , 2004 .

[6] M. Goldstein,et al. Multivariate Analysis: Methods and Applications , 1984 .

[7] S. Qian. Introduction to Time-Frequency and Wavelet Transforms , 2001 .

[8] Tommy Gärling,et al. Affective evaluations of and reactions to exterior and interior vehicle auditory quality , 2002 .

[9] Scott Amman,et al. Guidelines for Jury Evaluations of Automotive Sounds , 1999 .

[10] Y. S. Wang,et al. Sound-quality prediction for nonstationary vehicle interior noise based on wavelet pre-processing neural network model , 2007 .

[11] Sang-Kwon Lee. AN ACOUSTIC DECAY MEASUREMENT BASED ON TIME-FREQUENCY ANALYSIS USING WAVELET TRANSFORM , 2002 .

[12] S K Lee,et al. Application of wavelet analysis to the impact harshness of a vehicle , 2000 .

[13] Sang-Kwon Lee,et al. Objective evaluation of interior sound quality in passenger cars during acceleration , 2008 .