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Characteristics of the Luxury Sound Quality of a Premium Class Passenger Car
Technical Paper
2009-01-2183
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Luxury sound is one of the most important sound qualities in a premium passenger car. Previous work has shown that, because of the effects of many different interior sounds, it is difficult to evaluate the luxury sound objectively by using only the A-weighted sound pressure level. In this paper, the characteristics of such sound were first investigated by a systematic approach and a new objective evaluation method for luxury sound-the luxury sound quality index--which was developed by the systematic combination of the seven major interior sound quality indexes based on path analysis. The seven major sounds inside a passenger car were selected by a basic investigation evaluated by the members of a luxury automotive club. Seven major interior sound quality indexes were developed by using sound metrics, which are the psychoacoustic parameters, and the multiple regression method used for the modeling of the correlation between objective and subjective evaluation. The newly developed luxury sound quality index can be applied to the objective evaluation of the seven premium passenger cars in a pilot car stage based on the customer preference.
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Citation
Lee, K., Park, D., Kim, T., Jong-Kim, S. et al., "Characteristics of the Luxury Sound Quality of a Premium Class Passenger Car," SAE Technical Paper 2009-01-2183, 2009, https://doi.org/10.4271/2009-01-2183.Also In
References
- Vastfjall D. Gulbol M. A. Klieiner M. Garling T. Affective evaluation of reactions to exterior and interior vehicle auditory quality J. Sound Vibr. 255 3 501 518 2002
- Namba S. Kuwano S. Kinoshita A. Hayakawa S. Psychological evaluation of noise in passenger cars - The effect of visual monitoring and the measurement of habituation J. Sound Vibr. 205 4 427 433 1997
- Tsuge K. Kanamaru K. Kido T. Masuda N. A study of noise in vehicle passenger compartment during acceleration Proceedings of the 1998 World Congress and Exhibition Detroit, Michigan, USA SAE paper SAE980965 Society of Automotive Engineers New York 1998
- Hatano S. Hashimoto T. Booming index as a measure for evaluating booming sensation Proceedings of Inter-Noise 2000 Nice, France 2000
- Kim S. J. Lee S. K. Experimental Identification on a Gear Whine Noise in the Axle System of a Passenger Van International Journal of Automotive Technology 8 1 75 82 2007
- Ishihama M. Sakai Y. Katano I. Nakamura K. Effect of basic design parameters of automotive engines on their sound characteristics Proceedings of the 2003 SAE Noise and Vibration Conference Traverse City, Michigan, USA SAE paper 2003-01-1507 Society of Automotive Engineers New York 2003
- Gonzalez A. Ferrer M. Diego de. PinĀ“ero G. Garcia-Bonito J.J. Sound quality of low-frequency and car engine noise after active noise control J. Sound Vibr. 265 663 679 2003
- Lee S. K. Chae H. C. The application of artificial neural networks to the characterization of interior noise booming in passenger cars Proc. Instn Med. Engrs, Part D: Automobile J. Engineering 218 1 33 42 2004
- Lee S. K. Kim B. S. Park D. C. Objective evaluation of the rumbling sound in passenger cars based on an artificial neural network Proc. Instn Med. Engrs, Part D: Automobile J. Engineering 219 4 457 469 2005
- Lee S. K. Kim T. G. Lim J. T. Characterization of an axle-gear whine sound in a sport utility vehicle and its objective evaluation based on synthetic sound technology and an artificial neural network Proc. Instn Med. Engrs, Part D: Automobile J. Engineering 222 3 383 396 2008
- Lee K.H. Lee S. K. Park D. C. Kim T.G. Brand sound of premium sedans and its image analysis based on human engineering International Conference Sound and Vibration 15 Daejun, Korea 2008
- Noumura K. Yoshida J. Perception modeling and quantification of sound quality in cabin Proceedings of the 2003 SAE Noise and Vibration Conference Traverse City, Michigan, USA SAE paper 2003-01-1514 Society of Automotive Engineers New York 2003
- Fahy F. Walker J. Fundamentals of noise and vibration S & FN SPON London and New York 1998
- Sasaki M. Nakashima K. Human Auditory Models and Sound Quality Evaluation Method for Diesel Noise Proceedings of the 2007 SAE Noise and Vibration Conference Chicago, Illinois, USA SAE paper SAE 2007-01-2219 Society of Automotive Engineers New York 2007
- Otto N. Amman S. Eaton C. Lake S. Guidelines for jury evaluations of automotive sounds Proceedings of the 1999 SAE Noise and Vibration Conference Traverse City, Michigan, USA SAE paper 1999-01-1822 Society of Automotive Engineers New York 1999
- Mac Queen J. B. Some Methods for classification and Analysis of Multivariate Observations Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability Berkeley, USA University of California Press 1 281 297 1967
- Zwicker E. Fastl H. Psychoacoustics: facts and models 2nd Springer-Verlag Berlin 1999
- Biermayer W. Thomann S. Brandl F. A Software tool for noise quality and brand sound development Proceedings of the 2001 SAE Noise and Vibration Conference Traverse City, Michigan, USA SAE paper 2001-01-1573 Society of Automotive Engineers New York 2001
- Bishop C. M. Neural networks for pattern recognition Oxford University Press Oxford 1995
- Matrn H. Neural network design Publishing Boston Massachusetts
- Stevens S. S. Hallowell M. D. Hearing. its psychology and physiology American Institute of Physics New York 1983
- Moore B. C. J. Glasberg B. R. A revision of Zwicker's loudness model Acoustica 82 335 345 1996
- Aures W. A. Procedure for calculating auditory roughness Acoustica 58 268 281 1985
- Bismarck V. Sharpness as an attribute of the timbre of steady sounds Acoustica 30 159 172 1974
- Aures W. A. The sensory euphony as a function of auditory sensations Acoustica 58 282 290 1985
- Mueller H. G. Killion M. C. An easy method for calculating the articulation index Hearing J. 9 14 17 1990
- Cohen J. Cohen P. Applied Multiple regression/correlation analysis for the behavioral sciences Lawrence Erlbaum, New Jersey 1984
- Edwards D. Introduction to graphical modeling Springer-Verlag New York 2000