Evaluation of reverberation time models with variable acoustics

Prawda K, Schlecht SJ, Välimäki V (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: CERN

Book Volume: 2020-June

Pages Range: 145-152

Conference Proceedings Title: Proceedings of the Sound and Music Computing Conferences

Event location: Virtual, Torino, ITA

ISBN: 9788894541502

Abstract

Reverberation time of a room is the most prominent parameter considered when designing the acoustics of physical spaces. Techniques for predicting reverberation of enclosed spaces started emerging over one hundred years ago. Since then, several formulas to estimate the reverberation time in different room types were proposed. Although validations of those models were conducted in the past, they lack testing in a space with a high granularity of controllable absorptive and reflective conditions. The present study discusses the reverberation time estimation techniques by comparing various formulas. Moreover, the reverberation time measurements in a variable acoustic laboratory for different combinations of reflective and absorptive panels are shown. The values calculated with the presented models are compared with the ones obtained via measurements. The results show that all formulas predict reverberation time values inaccurately, with an average error of 16% or larger. Among the analyzed models, Fitzroy's formula gives the smallest error.

Authors with CRIS profile

Sebastian Schlecht

Involved external institutions

Aalto University Espoo FI Finland (FI)

How to cite

APA:

Prawda, K., Schlecht, S.J., & Välimäki, V. (2020). Evaluation of reverberation time models with variable acoustics. In Simone Spagnol, Andrea Valle (Eds.), Proceedings of the Sound and Music Computing Conferences (pp. 145-152). Virtual, Torino, ITA: CERN.

MLA:

Prawda, Karolina, Sebastian J. Schlecht, and Vesa Välimäki. "Evaluation of reverberation time models with variable acoustics." Proceedings of the 17th Sound and Music Computing Conference, SMC 2020, Virtual, Torino, ITA Ed. Simone Spagnol, Andrea Valle, CERN, 2020. 145-152.

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