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Assessment Effects of Humidification of Guitars by Complexity Measures of the Sound Level During Sustain

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Air humidity significantly affects the sound of wooden instruments. The sound quality decreases when the instrument is exposed to low humidity for an extended period. Therefore, the instrument is treated with a humidifier to improve sound quality. This study aimed to verify the effectiveness of the humidification process by analyzing the quality of guitar sound with the methods used in signal complexity studies, such as Higuchi’s fractal dimension (HFD), symbolic analysis, and empirical mode decomposition (EMD). The sound quality was determined by the sound levels measured before, during, and after the guitars’ humidification. The methods used consistently confirmed the improvement of the guitar sound quality after the humidification process. Moreover, it was concluded that the sound quality changes irregularly during the humidification process.
Rocznik
Strony
189--197
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wykr.
Twórcy
  • Institute of Information Technology Warsaw University of Life Sciences Warsaw, Poland
  • Institute of Information Technology Warsaw University of Life Sciences Warsaw, Poland
Bibliografia
  • 1. de Boor C. (1978), A Practical Guide to Splines, Springer-Verlag, New York.
  • 2. Gladun K.V. (2020), Higuchi fractal dimension as a method for assessing response to sound stimuli in patients with diffuse axonal brain injury, Modern Technologies in Medicine, 12(4): 63-70, doi: 10.17691/stm2020.12.4.08.
  • 3. Gomolka R.S., Kampusch S., Kaniusas E., Thürk F., Széles J.C., Klonowski W. (2018), Higuchi fractal dimension of heart rate variability during percutaneous auricular vagus nerve stimulation in healthy and diabetic subjects, Frontiers in Physiology, 9: 1162, doi: 10.3389/fphys.2018.01162.
  • 4. Gordobil O., Herrera R., Poohphajai F., Sandak J., Sandak A. (2021), Impact of drying process on kraft lignin: Lignin-water interaction mechanism study by 2D NIR correlation spectroscopy, Journal of Materials Research and Technology, 12: 159-169, doi: 10.1016/j.jmrt.2021.02.080.
  • 5. Gore T. (2011), Wood for guitars, [in:] Proceedings of Meetings on Acoustics 161ASA, 12(1): 035001.
  • 6. Higuchi T. (1988), Approach to an irregular time series on the basis of the fractal theory, Physica D: Nonlinear Phenomena, 31(2): 277-283, doi: 10.1016/0167-2789(88)90081-4.
  • 7. Huang N.E. et al. (1998), The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 454(1971): 903-995, doi: 10.1098/rspa.1998.0193.
  • 8. Huang N.E., Wu Z. (2008), A review on Hilbert-Huang transform: Method and its applications to geophysical studies, Reviews of Geophysics, 46(2), doi: 10.1029/2007RG000228.
  • 9. Johnson Jr P.D., Harris G.A., Hankerson D. (2003), Introduction to Information Theory and Data Compression, 2nd ed., CRC.
  • 10. Khan S.I., Pachori R.B. (2021), Automated classification of lung sound signals based on empirical mode decomposition, Expert Systems with Applications, 184: 115456, doi: 10.1016/j.eswa.2021.115456.
  • 11. Li C. et al. (2021), Seizure onset detection using empirical mode decomposition and common spatial pattern, [in:] IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29: 458-467, doi: 10.1109/TNSRE.2021.3055276.
  • 12. Mandelbrot B. (1967), How long is the coast of Britain? Statistical self-similarity and fractional dimension, Science, 156(3775): 636-638.
  • 13. Pierzchalski M., Stepien R.A., Stepien P. (2011), New nonlinear methods of heart rate variability analysis in diagnostics of atrial fibrillation, International Journal of Biology and Biomedical Engineering, 5(4): 201-208.
  • 14. Rath J., Staudinger G. (2001), Cracking reactions of tar from pyrolysis of spruce wood, Fuel, 80(10): 1379-1389, doi: 10.1016/S0016-2361(01)00016-3.
  • 15. Ribeiro H.V., Jauregui M., Zunino L., Lenzi E.K. (2017), Characterizing time series via complexity-entropy curves, Physical Review E, 95(6): 062106, doi: 10.1103/PhysRevE.95.062106.
  • 16. Ribeiro H.V., Zunino L., Mendes R.S., Lenzi E.K. (2012), Complexity-entropy causality plane: A useful approach for distinguishing songs, Physica A: Statistical Mechanics and its Applications, 391(7): 2421-2428, doi: 10.1016/j.physa.2011.12.009.
  • 17. Spasic S., Kalauzi A., Culic M., Grbic G., Martac L. (2005), Estimation of parameter kmax in fractal analysis of rat brain activity, Annals of the New York Academy of Sciences, 1048(1): 427-429, doi: 10.1196/annals.1342.054.
  • 18. Stepien R.A. (2011), New method for analysis of nonstationary signals, Nonlinear Biomedical Physics, 5(1): 1-8, doi: 10.1186/1753-4631-5-3.
  • 19. Stojadinovic G. et al. (2020), The effects of Nembutal on the intracerebellar EEG activity revealed by spectral and fractal analysis, Archives of Biological Sciences, 72(3): 425-432.
  • 20. Stone J.V. (2022), Information Theory: A Tutorial Introduction, 2nd ed., Sebtel Press.
  • 21. Wrzeciono P., Przybylski W., Ostrowski A. (2018), Guitar Sound Parameters to assess the impact of atmospheric conditions on the acoustic qualities of the instrument, [in:] 2018 Joint Conference – Acoustics, pp. 1-5, doi: 10.1109/ACOUSTICS.2018.8502376.
  • 22. Zheng J., Su M., Ying W., Tong J., Pan Z. (2021), Improved uniform phase empirical mode decomposition and its application in machinery fault diagnosis, Measurement, 179: 109425, doi: 10.1016/j.measurement.2021.109425.
  • 23. Zhou S., Bethel B.J., Sun W., Zhao Y., Xie W., Dong C. (2021), Improving significant wave height forecasts using a joint empirical mode decomposition–long short-term memory network, Journal of Marine Science and Engineering, 9(7): 744, doi: 10.3390/jmse9070744.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c4347747-b087-4b5a-886b-f8067d6ea9e5
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