Most previous studies on active sound design (ASD) development proposed regression models based on psychoacoustic parameters for engine sound design. However, order-based parameters are required for a real ASD development, considering that an ASD system is controlled by order levels. In this paper, we propose a regression model utilizing order-level–based parameters that can be efficiently applied to ASD development. A jury test was conducted for 27 engine sound recordings using 36 participants with normal hearing ability to evaluate the level of affective adjectives. Then, acoustic parameters were measured from the engine sound recordings to identify the relationship between the adjectives and parameters. Finally, a regression model was derived through statistical analysis. The properties of the model were compared with those of models proposed in previous studies to verify its superiority. The proposed regression model can reduce the time and effort required for ASD development.
Moon, Soyoun; Park, Sunghwan; Park, Donggun; Yun, Myunghwan; Chang, Kyongjin; Park, Dongchul
Affiliations: Department of Industrial Engineering & Institute for Industrial System Innovation, Seoul National University, Seoul, Republic of Korea; Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul, Republic of Korea; Sound Design Research Lab, Hyundai Motors R & D Center, Hwaseong, Republic of Korea(See document for exact affiliation information.)
JAES Volume 68 Issue 7/8 pp. 532-544; July 2020
Publication Date: September 1, 2020
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