Device for Operational Assessment of Acoustic Characteristics of Room

Authors

DOI:

https://doi.org/10.20535/RADAP.2023.94.24-31

Keywords:

acoustic characteristics of premises, synthesized spatial characteristics, localization of sound reflectors

Abstract

Introduction. The acoustic quality of the premises significantly affects the comfort of living, working, training, lectures and recreation. The main characteristics of the sound field in the room include the noise level created by external and internal sources of man-made noise and the standard reverberation time of the sound process. The measurement takes a long time, during which the characteristics of external man-made noises change, which leads to false estimates. It is possible to improve the assessment of sound insulation by using an integral sound meter or a device for operational assessment of the acoustic characteristics (DOAAC) of the room proposed in the work.

Theoretical Results. The paper proposes a device for researching the acoustic characteristics of rooms, the basis of which is the method of synthesis of the controlled spatial correlation characteristic, which allows to evaluate the angular distribution of the sound level, to identify enclosing structural elements with a low level of sound insulation, to localize effective sound reflectors and to evaluate their contribution to the reverberation process.

Experiment. Approbation of the device in laboratory conditions showed the possibility of localizing individual structural elements, such as windows or doors, as sound penetration channels. The correlation in time between the reverberation process and individual reflectors is established and their angular position is determined. The conducted researches confirmed the possibility of applying DOAAC for the tasks of acoustic examination of premises and posed the question of developing a methodology for further application.

Author Biographies

S. O. Kozeruk , National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

Docent, Department of acoustic and multimedia electronic systems

O. O. Dvornyk , National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

PhD Student, Department of acoustic and multimedia electronic systems

References

References

DBN V.1.1-31:2013 Zakhyst terytorii, budynkiv i sporud vid shumu [DBN V.1.1-31:2013 Protection of territories, buildings and structures from noise]. Servis dokumentiv BUDSTANDART Online [BUDSTANDART Online document service].

DSTU B V.2.6-86:2009 Konstruktsii budynkiv i sporud. Zvukoizoliatsiia ohorodzhuvalnykh konstruktsii. Metody vymiriuvannia [DSTU B V.2.6-86:2009 Structures of buildings and structures. Sound insulation of enclosing structures. Measurement methods]. Servis dokumentiv BUDSTANDART Online [BUDSTANDART Online document service].

ISO 3382-1:2009. Acoustics. Measurement of room acoustic parameters. Part 1: Performance spaces. ISO.

ISO 3382-2:2008. Acoustics. Measurement of room acoustic parameters. Part 2. Reverberation time in ordinary rooms. ISO.

Hořák, Pavel. (2016). Measurement of the reverberation time. ResearchGate. DOI:10.13140/RG.2.2.17246.64321.

Dvornyk O. O., Motorniuk D. I., Didkovska M. V., Prodeus A. M. (2020). Hardware and Software System "Artificial Head". Part 2. Evaluation of Speech Intelligibility in Classrooms. Microsystems Electronics and Acoustics, Vol. 25, Iss. 3, pp. 48-55. doi: 10.20535/2523-4455.mea.209928.

Dvornyk O. O., Motorniuk D. I., Didkovska M. V., Prodeus A. M. (2020). Artificial Software Complex "Artificial Head". Part 1. Adjusting the Frequency Response of the Path. Microsystems Electronics and Acoustics, Vol 25, Iss. 1, pp. 56-64. doi: 10.20535/2523-4455.mea.198431.

Prodeus A., Didkovska M., Kukharicheva K. and Motorniuk D. (2020). Modeling the Influence of Early Sound Reflections on Speech Intelligibility. 2020 IEEE 6th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), pp. 47-50. doi: 10.1109/MSNMC50359.2020.9255657.

Wang, Yueyue; et al. (2021). Influence of the acoustic structures placement on the measurements in a reverberation room. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, pp. 429-433. DOI: 10.3397/IN-2021-1474.

Aida, Y., Inoue, N., & Sakuma, T. (2019). An experimental study on the influence of incident characteristics on sound insulation between rooms. Journal of Environmental Engineering (Japan), Vol. 84, Iss. 764, pp. 893-902. https://doi.org/10.3130/aije.84.893.

DiBiase, J. H., Silverman, H. F., Brandstein, M. S. (2001). Robust Localization in Reverberant Rooms. In: Brandstein, M., Ward, D. (eds) Microphone Arrays. Digital Signal Processing. Springer. doi: 10.1007/978-3-662-04619-7_8.

Oleinikov A. N., Shirokiy O. M. (2014). Matematycheskoe modelyrovanye akustycheskoho kanala utechky rechevoi ynformatsyy [Mathematical model of the acoustic channel for the leakage of speech information]. Radyotekhnyka [Radio engineering], Vol. 177, pp.161-171.

Silverman H. F., Patterson W. R., Flanagan J. L. and Rabinkin D. (1997). A digital processing system for source location and sound capture by large microphone arrays. 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 1, pp. 251-254. doi: 10.1109/ICASSP.1997.599616.

Case E. E., Zelnio A. M. and Rigling B. D. (2008). Low-Cost Acoustic Array for Small UAV Detection and Tracking. 2008 IEEE National Aerospace and Electronics Conference, pp. 110-113. doi: 10.1109/NAECON.2008.4806528.

Mu Peng Cheng, Yin Qin Ye, Zhang Jian Guo (2010). A wideband beamforming method based on directional uniform circular arrays. Science China Information Sciences, Vol. 53, Iss. 12, pp. 2600-2609.

Brandstein M. S., Adcock J. E. and Silverman H. F. (1997). A closed-form location estimator for use with room environment microphone arrays. IEEE Transactions on Speech and Audio Processing, Vol. 5, No. 1, pp. 45-50. doi: 10.1109/89.554268.

Benjamin M. and Goldman G. H. (2014). Acoustic Detection and Tracking of a Class I UAS with a Small Tetrahedral Microphone Array. Defence Technical Information Center. DOI: 10.21236/ADA610599.

Sedunov A., Salloum H., Sutin A., Sedunov N. and Tsyuryupa S. (2018). UAV Passive Acoustic Detection. 2018 IEEE International Symposium on Technologies for Homeland Security (HST), pp. 1-6. doi: 10.1109/THS.2018.8574129.

Published

2023-12-30

How to Cite

Козерук , С. О. and Дворник , О. О. (2023) “Device for Operational Assessment of Acoustic Characteristics of Room”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (94), pp. 24-31. doi: 10.20535/RADAP.2023.94.24-31.

Issue

Section

Telecommunication, navigation, radar systems, radiooptics and electroacoustics