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http://dx.doi.org/10.6109/jkiice.2018.22.12.1639

Engine Sound Design for Electric Vehicle through Wavetable Software Synthesizer  

Bae, June (Department of Computer Science, The University of Suwon)
Kim, Jangyoung (Department of Computer Science, The University of Suwon)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.12, 2018 , pp. 1639-1644 More about this Journal
Abstract
Unlike internal combustion engines, electric cars have little engine sound and very quiet, causing the following problems to occur. First of all, pedestrians are a threat to safety because they can't feel the car approaching. The driver is also unable to recognize how fast his car is driving at a certain speed. To solve these problems, electric cars should be artificially created and reused. This paper examines the problems of the Sampling engine sound currently being used and uses the engine sound to produce a sound engine sound for the solution. The sampling engine sound has some limitations in making natural engine sounds. To overcome this problem, we studied two methods of using software synthesizers. They found subtractive synthsizing and wavetable synthsizing, which compared wavetabe synthsizing with actual engine, sampling and subtractive methods to find the most similar to real engine sound. We found that data usage and production cost are more advantageous than sampling method and subtractive syndication method.
Keywords
Electric Vehicle; Software Synthesizer; Sound Design; Wavetable;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 M. Dudenhoffer, L. Hause, "Sound Perception Of Electric Vehicles," Auto Tech Review, vol. 2, no. 8, pp. 44-49, Sep. 2013.   DOI
2 U. Sandberg, "Adding noise to quiet electric and hybrid vehicles," An electric issue. Acoustics Australia, vol. 40, no. 3, pp. 211-220, Mar. 2012.
3 ANEC, "Silent but dangerous : when absence of noise of cars is a factor of risk for pedestrians," ANEC Position paper, vol. 8, no. 7 , pp. 2, Aug. 2010.
4 T. Braunl, "Synthetic engine noise generation for improving electric vehicle safety," International Journal of. Vehicle Safety, vol. 6, no. 1, pp. 2-4, Mar. 2012.
5 X. Chai, Q. Wang, Y. Zhao, X. Liu, O. Bai, and Y. Li, "Unsupervised domain adaptation techniques based on auto-encoder for non-stationary EEG-based emotion," Computational Biomedical, vol. 2, no. 79, pp. 205-214, Dec. 2016.
6 B. Han, S. Rho, S. Jun, and E. Hwang, "Music emotion classification and context-based music ecommendation," Multimedia Tools Application, vol. 47, no. 3, pp. 433-460, May 2010.   DOI
7 G. Marbjerg, "Noise From Electric Vehicles," Literature survey, vol. 56, no. 1, pp. 39-40, Feb. 2013.
8 J. Bae, J. Kim, "Engine Sound Design for Electric Vehicle by using Software Synthesizer," Journal of the Korea Institute of Information and Communication Engineering, vol. 21, no. 8, pp. 1547-1552, Aug. 2017.   DOI
9 J. Bae, J. Kim, and Y. Yang "Physical modeling synthesizing of 25 strings Gayageum using white noise as exciter," Journal of the Korea Institute of Information and Communication Engineering, vol. 22, no. 5, pp. 740-746, May 2018.   DOI
10 Ju Chan Na, "Optimization in Cooperative Spectrum Sensing," Asia-pacific Journal of Convergent Research Interchange, vol. 3, no. 1, pp. 19-31, March 2017.
11 K. Kumar, "Estimation of Traffic Management and Road Safety," Asia-pacific Journal of Convergent Research Interchange, Journal of the Korea Institute of Information and Communication Engineering, vol. 3, no. 2, pp. 21-28, June 2017.
12 G. D'Amico, S. Lenzi, "Sound for Electric Vehicles," Energy, vol. 1, no.1, pp. 35, Sep. 2010.