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http://dx.doi.org/10.5050/KSNVN.2006.16.5.457

New Development of Two-dimensional Sound Quality Index for Brand Sound in Passenger Cars  

Jo, Byoung-Ok (인하대학교 대학원 기계공학과)
Park, Dong-Chul (현대자동차 남양연구소)
Lee, Min-Sub (현대자동차 남양연구소)
Jung, Seung-Gyoon (현대자동차 남양연구소)
Lee, Sang-Kwon (인하대학교 기계공학과)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.16, no.5, 2006 , pp. 457-469 More about this Journal
Abstract
In automotive engineering, the brand sound is one of the important advantage strategies in a car company. For the design of brand sound, the selection of descriptive word for a car sound is one of major works in automotive sound quality research. In this paper, booming and rumbling sound, which are professional words used by sound and vibration engineers are used for the design of brand sound. We employed sound quality metrics, which are used in the psychoacoustics. By most research results, the relationship between subjective evaluations and sound quality metrics has nonlinear characteristics. In order to correlate these subjective evaluations with sound quality metrics, the artificial neural network technology has been applied to two-dimensional sound quality index for a passenger car. These indexes are used for 46 passenger cars, which are samples of the famous cars around the world. Also a preference evaluation for car sound was carried out by sound and vibration engineers. We coupled this preference with booming and rumbling sounds by using artificial neural network. In future, the two dimensional sound and preference index will be very useful to develop brand sound in passenger cars.
Keywords
Booming Index; Rumbling Index; Brand Sound; Sound Quality; Artificial Neural Network; Sound Quality Metrics;
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  • Reference
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