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

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Tonality Design for Sound Quality Evaluation in Printer

프린터 음질평가를 위한 순음도 설계

  • 김의열 (인하대학교 대학원 기계공학과) ;
  • 이영준 (인하대학교 대학원 기계공학과) ;
  • 이상권 (인하대학교 기계공학과)
  • Received : 2011.12.19
  • Accepted : 2012.02.02
  • Published : 2012.04.20
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Abstract

The operating sound radiated from a laser printer includes tonal noise components caused by the rotating mechanical parts such as gear, shaft, motor, fan, etc. The negative effects of the tonal noise components need to be considered in the process of developing a sound quality index for the quantitative evaluation of the emotional satisfaction in terms of psycho-acoustics. However, in a previous paper, it was confirmed that the Aures tonality did not have enough correlation with the results of jury evaluation. The sound quality index based on loudness, articulation index, fluctuation strength has a little problem in considering the effects of rotating mechanical parts on the sound quality. In this paper, to solve the tonality evaluation problem, the calculation algorithm of Aures tonality was investigated in detail to find the cause of decreasing the correlation. The new tonality evaluation model was proposed by modifying and optimizing the masking effect, loudness ratio, and shape of weighting curve based on the basic algorithm of Aures tonality, and applied to two kinds of operating sound groups in order to verify the usefulness of proposed model. As a result, it is confirmed that the proposed tonality evaluation model has enough correlation and usefulness for expressing the tonalness in the operating sounds of laser printers. In the following paper, this results will be used to model the sound quality index as the input data by using the classification algorithm.

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References

  1. Takanashi, A., Mori, A. and Nomura, M., 2003, Evaluation of Sound Quality of Business Machines - Background and Problems, Proceedings of Inter-noise 2003.
  2. Hellweg, R. D., 1998, Acceptability of Noises from Office Machines, Proceeding of Sound Quality Symposium, Ypsilanti, Michigan, pp. 113-118.
  3. 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, DEGA, Oldenburg, pp. 388-389.
  4. Fastl, H. and Zwicker, E., 2007, Psychoacoustics: Facts and Models, Springer-Verlag, Berlin, Germany.
  5. Stevens, S. S. and Hallowell, M. D., 1983, Hearing Its Psychology and Physiology, American Institute of Physics, New York, USA.
  6. 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
  7. Baird, T., Bray, W. and Otto, N., 2005, Impulsive Noise of Printers : Measurement and Characterization, Inter-Noise 2005, Rio de Janeiro, Brazil.
  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, 1995.
  9. Lee, H. H., Kim, S. J. and Lee, S. K., 2009 Design of New Sound Metric and Its Application for Quantification of an Axle Gear Whine Sound by Utilizing Artificial Neural Network, Journal of Mechanical Science and Technology, Vol. 23, No. 4, pp. 1182-1193. https://doi.org/10.1007/s12206-009-0106-0
  10. Lee, K. H., 2006 Perception of Tones in Machinery Noise and Its Influence on Annoyance, Purdue University, Ph.D Thesis.
  11. Otto N., Amman S., Eaton C., Lake S., 2001 Guidelines for Jury Evaluations of Automotive Sounds. Sound and Vibration, Vol. 35, pp. 24-47.
  12. Aures, W. 1985, The Sensory Euphony as a Function of Auditory Sensations, Acoustica, Vol. 58 pp. 282-290.
  13. Aures, W., 1994, Berechnungsverfahren fur den Wohlklang belieber Schallsignale, ein Beitrag zur gehorbezogenen Schallanalyse, Dissertation, Ph.D thesis, Technische Universitat Munchen.
  14. ISO 389-7, 2005 Acoustics - Reference Zero for the Calibration of Audiometric Equipment - Part 7: Reference Threshold of Hearing under Free-field and Diffuse-field Listening Conditions.
  15. Kenji, K., Taju, M., Kazuma, M. and Kaoru, A., 2005, Statistical Distribution of Normal Hearing Thresholds under Free-field Listening Conditions, Acoustical Science and Technology, Vol. 26, Issue 5, pp. 440-446. https://doi.org/10.1250/ast.26.440
  16. ISO 226 : 2003, Acoustics - Normal Equalloudness- level Contours.
  17. ISO 532B, 1975, Acoustics - Method for Calculating Loudness Level.