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Statistical analysis with Kolmogorov-Smirnov distance for reflections’ directions of arrival and amplitudes for sound field diffuseness estimation

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Języki publikacji
EN
Abstrakty
EN
Many parameters are used for rating the quality of the sound field inside qualified acoustic halls describing the strength, clarity, and definition of the sound. Sound field diffuseness level and spatial impression parameters are used rarely because of the problem in their measurements and interpretation. Previous research on that topic provided some sound field diffuseness coefficients. Some of them are complicated in estimation and measurement. This paper presents a method for the sound field diffuseness level estimation basing on example measurements of the Arthur Rubinstein Philharmonic in Łódź, Poland. New directional parameters are proposed based on the statistical analysis of the sound reflections’ incidence angles and their amplitudes with Kolmogorov-Smirnov distance. The paper contains a discussion on the quality evaluation with the proposed method, including analysing the sound field diffuseness and non-uniform spatial distributions of sound reflections. The usability of the selected parameters and their importance for the spatial impression is discussed. The performed experiments allow setting the direction of future work in the field taken of the study, especially applying the proposed method for extended sound field diffuseness ratings with methods based on different physical principles, including directional, energetic, and time coefficients.
Rocznik
Strony
art. no. 2021101
Opis fizyczny
Bibliogr. 18 poz., il. kolor., wykr.
Twórcy
  • AGH University of Science and Technology, Mickiewicza Av. 30, 30-059 Cracow, Poland
  • Lublin University of Technology, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland
  • AGH University of Science and Technology, Mickiewicza Av. 30, 30-059 Cracow, Poland
  • AGH University of Science and Technology, Mickiewicza Av. 30, 30-059 Cracow, Poland
Bibliografia
  • 1. C. Jeong. Diffuse sound field: challenges and misconceptions. InterNoise 2016, 1015-1021.
  • 2. J.Y. Jeon, K. Kwak, H.S. Jang, H. Lim. Perceptual aspects of sound field diffuseness in concert halls. Proceedings of International Congress on Sound & Vibration, 2016.
  • 3. C.-H. Jeong. Kurtosis of room impulse responses as a diffuseness measure for reverberation chambers. J. Acoust. Soc. Am., 139(5):2833-2841, 2016.
  • 4. M. Vercammen, M. Lautenbach. Can we use the standard deviation of the reverberation time to describe diffusion in a reverberation chamber. Aia-Daga 2013 192013, 2071-4,
  • 5. M. Nolan, Martijn Vercammen, Cheol-Ho Jeong. Effects of Different Diffuser Types on the Diffusivity in Reverberation Chambers. Euronoise 2015, 191-196.
  • 6. L. Shtrepi, A. Astolfi, S. Pelzer, R. Vitale, M. Rychtáriková. Objective and perceptual assessment of the scattered sound field in a simulated concert hall. J. Acoust. Soc. Am., 138(3):1485-1497, 2015.
  • 7. L. Shtrepi, A. Astolfi, G.E. Puglisi, M.C. Masoero. Effects of the distance from a diffusive surface on the objective and perceptual evaluation of the sound field in a small simulated variable-acoustics hall. Appl. Sci., 7(3):224, 2017.
  • 8. A. Bidondo, J. Vazquez Torre, S. Vazquez, M. Arouxet, G. Heinze. A new and simple method to define the time limit between the early and late sound fields. 141st Audio Engineering Society Convention Proceedings 9631, 2016.
  • 9. X. Pelorson, J.P. Vian, J.D. Polack. On the variability of room acoustical parameters: Reproducibility and statistical validity. Appl. Acoust., 37(3):175-198, 1992.
  • 10. B. Chojnacki, A. Pilch, T. Kamisinski, A. Flach. Estimating the diffuseness level of the acoustic field - Reverberation chamber under study. 142nd Audio Engineering Society Convention 9706, 2017.
  • 11. K. Środecki, A. Śliwiński. Application of correlation methods for an investigation of the acoustic field in a room. Arch. Acoust., 16(2):355-367, 1991.
  • 12. D. Mleczko, T. Wszołek. Effect of Diffusing Elements in a Reverberation Room on the Results of Airborne Sound Insulation Laboratory Measurements. Arch. Acoust., 44(4):739-46, 2019.
  • 13. ISO 354. Acoustics - Measurement of sound absorption in a reverberation room. Int. Stand. Organ. 2003.
  • 14. M.L.S. Vercammen. Improving the accuracy of sound absorption measurement according to ISO 354. Proceedings of the International Symposium on Room Acoustics, 2010.
  • 15. L.L. Beranek. Acoustics. American Institute of Physics, 1986.
  • 16. J.Y. Jeon, H. Jo, R. Seo, K. Kwak. Objective and subjective assessment of sound diffuseness in musical venues via computer simulations and a scale model. Build. Environ., 173:106740, 2020.
  • 17. N.M. Razali, Y.B. Wah. Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors, and Anderson-Darling tests. J. Stat. Model. Anal., 2(1):21-33, 2011.
  • 18. B. Chojnacki. Time-window differences evaluation in a room acoustic sound field diffuseness estimation. 146th Audio Engineering Society Convention, 10186, 2019.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-849bb4e0-0f75-4789-bee9-eb94878ae1dd
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