Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
권호 표지
DOI QR코드

DOI QR Code

Design of Decision Error Model for Reliability of Sound Quality Analysis and Its Experimental Verification

프린터 음질평가의 신뢰성을 위한 결정오차 모델설계 및 실험적 검증

  • 김의열 (인하대학교 대학원 기계공학과) ;
  • 이영준 (인하대학교 대학원 기계공학과) ;
  • 이상권 (인하대학교 기계공학과)
  • Received : 2011.11.21
  • Accepted : 2012.06.11
  • Published : 2012.07.20
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, the possibility of decision error is investigated to identify and improve the reliability of participants in the process of conducting the sound quality analysis for laser printers. So far, there is not a way to identify and express the possibility of individual participant quantitatively. Thus, the decision error model is proposed which is based on the expectation value between the perceived sounds. Through the experimental verification on the laser printers, it was found that the possibility of decision error is affected according to the normalized difference. The possibility of decision error has inversely proportional to the normalized difference between the perceived sounds. When the normalized difference becomes small value, the uncertainly between decisions is inversely increase, and then it is difficult to obtain the proper result in the process of the jury evaluation for laser printers. For this reason, in this study, the proposed decision error model is added in the previous step of the correlation verification. Comparing to the conventional process only using the correlation based method, after the reliability of each participant is verified, the correlation with the mean response of participants is verified. It was found that the participants who were recognized as having unusual preferences are actually identified as having the reliability problem. Based on the results of this study, the proposed decision error model will be helpful to identify and improve the reliability of participants in the following study for the sound quality analysis.

Keywords

References

  1. Park, S. W., Lee, H. H., Na, E. W., Lee, S. K., Park, Y. J. and Kim, J. W., 2010, Development of Sound Quality Evaluation System for a Printer Noise Based on Human Sensibility, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 20, No.5, pp. 427-436. https://doi.org/10.5050/KSNVE.2010.20.5.427
  2. Park, S. W., Yang, H. J., Na, E. W., Lee, S. K., Park, Y. J. and Kim, J. W., 2010, Identification of Printer Noise Source and Its Sound Quality Evaluation System Development, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 20, No.11, pp. 1018-1024. https://doi.org/10.5050/KSNVE.2010.20.11.1018
  3. Kim, E. Y., Lee, Y. J. and Lee, S. K., 2012, Tonality Design for Sound Quality Evaluation in Printer, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 22, No. 4, pp. 318-327. https://doi.org/10.5050/KSNVE.2012.22.4.318
  4. Hansen, H. and Weber, R. 2009, Semantic Evaluations of Noise with Tonal Components in Japan, France, and Germany : a Cross-cultural Comparison, J. Acoust. Soc. Am., Vol. 125, No. 2, pp. 850-862. https://doi.org/10.1121/1.3050275
  5. Hellman, R. P., 1982, Loudness, Annoyance, and Noisiness Produced by Single Tone Noise Complexes, J. Acoust. Soc. Am., Vol. 72, No. 1, pp. 62-73. https://doi.org/10.1121/1.388025
  6. Lee, K. H., 2006, Perception of Tones in Machinery Noise and Its Influence on Annoyance, Purdue University, Ph.D Thesis.
  7. Takanashi, A., 2008, Study of Problems with Noise and Sound Quality Evaluations of Copying Machines, Printers, and MFD, SQS 2008.
  8. ISO 11201:1995, Acoustics - Noise Emitted by Machinery and Equipment - Measurement of Emission Sound Pressure Levels at a Work Station and at Other Specified Positions - Engineering Method in an Essentially Free Field Over a Reflecting Plane.
  9. Otto, N., Amman, S., Eaton, C. and Lake, S., 2001, Guidelines for Jury Evaluations of Automotive Sounds, Sound and Vibration, Vol. 35, pp. 24-47.
  10. ISO 532B:1975, Acoustics - Method for Calculating Loudness Level.
  11. Fastl, H., Patsouras, C. H., Kuwano, S. and Namba, S., 2001, Loudness, Noisiness, and Annoyance of Printer Sounds. In: Wiss. Hrsg.: Otto v. Estorff, Editor, Tagungsband Fortschritte der Akustik - DAGA 2001, Hamburg, pp. 388-389.
  12. Kim, T. G., Lee, S. K. and Lee, H. H., 2009, Characterization and Quantification of Luxury Sound Quality in Premium-class Passenger Cars, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 223, No. 3, pp. 343-353. https://doi.org/10.1243/09544070JAUTO989
  13. Lee, S. K., Kim, B. S. and Park, D. C., 2005, Objective Evaluation of the Rumbling Sound in Passenger Cars Based on an Artificial Neural Network, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 219, No. 4, pp. 457-469. https://doi.org/10.1243/095440705X11112