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Scientific papers

Vol. 49 No. 2 (2025)

Enhancement of the Acoustic Design workflow through VR Technology: The case study of conference Room in a historical building

DOI
https://doi.org/10.3280/ria2-2025oa19529
Submitted
febbraio 28, 2025
Published
2025-12-09

Abstract

Speech intelligibility is a key factor in conference room acoustics, affecting the listener’s experience and communication effectiveness. Traditional acoustic design relies on objective parameters, often neglecting perceptual validation of both acoustic and aesthetic features. This study explores how virtual reality technologies can support the acoustic design process. Two acoustic treatment solutions for the conference room of the Museo Egizio di Torino were compared: a (1) seamless plaster-based system and (2) parametric felt baffles. Geometrical Acoustic software Ramsete was used to predict their effectiveness, and to generate third-order Ambisonics auralisations. A photogrammetric 3D model was used for visual renderings. Both were used for speech intelligibility tests conducted in the Audio Space Lab of Politecnico di Torino, a small listening environment equipped with a High-Order Ambisonics sound reproduction system and an Oculus Meta Quest 2. Listeners were also asked to express their preference on the visual scenarios obtained with the two treatment solutions. The results showed a preference for the second solution, despite no significant acoustic differences.

References (including DOI)

  1. R. Pisani, VALUTAZIONE DELLA QUALITA’ ACUSTICA PER SALE ADIBITE ALL’ASCOLTO DEL PARLATO, (n.d.).
  2. J.S. Bradley, Review of objective room acoustics measures and future needs, APPL ACOUST 72 (2011) 713–720.
  3. M. Ottley, Y. Chen, Use of Virtual Reality and auralization as a training tool for acoustic practitioners, in: Sydney, Australia, 2023: p. 015003. https://doi.org/10.1121/2.0001814.
  4. V. Hohmann, R. Paluch, M. Krueger, M. Meis, G. Grimm, The Virtual Reality Lab: Realization and Application of Virtual Sound Environments, Ear & Hearing 41 (2020) 31S-38S. https://doi.org/10.1097/AUD.0000000000000945.
  5. M. Azevedo, J. Sacks, AURALIZATION AS AN ARCHITECTURAL DESIGN TOOL, (2014).
  6. A. Defays, S. Safin, A. Billon, C. Decaestecker, N. Warzée, P. Leclercq, A.-S. Nyssen, Bimodal Interaction: The Role of Visual Information in Performing Acoustic Assessment in Architec-ture, TOERGJ 7 (2015) 13–20. https://doi.org/10.2174/1875934301407010013.
  7. F. Pind, C.-H. Jeong, H.S. Llopis, K. Kosikowski, J. Strømann-Andersen, Acoustic Virtual Reality – Methods and challenges, (n.d.).
  8. L. Shtrepi, S. Rovera, L.T. Lose’, F. Chiabrando, A. Guastamac-chia, A. Astolfi, ELABORAZIONE DI MODELLI 3D ACUSTICO-VISIVI PER LA PERCEZIONE DEL SUONO IN SPAZI STORICI, (n.d.).
  9. B.N.J. Postma, B.F.G. Katz, Creation and calibration method of acoustical models for historic virtual reality auralizations, Virtu-al Reality 19 (2015) 161–180. https://doi.org/10.1007/s10055-015-0275-3.
  10. Caratteristiche acustiche interne di ambienti confinati - Metodi di progettazione e tecniche di valutazione - Parte 2: Settore scolastico (Internal acoustical characteristics of confined spa-ces - Design methods and evaluation techniques - Part 2: Edu-cational sector), (2020).
  11. H. Hossam Eldien, The influence of an inclined line source close to building facades with balconies, Noise Cont Engng j 60 (2012) 363–373. https://doi.org/10.3397/1.3701016.
  12. T.J. Cox, P. D’Antonio, Acoustic absorbers and diffusers: theory, design, and application, 2. ed, Taylor & Francis, London, 2009.
  13. S. Rovera, L. Shtrepi, A. Astolfi, L.T. Lose’, Application of the Performance-Based Design and Parametric Design Approach to the Acoustic Correction of Spaces Intended for Speech Listen-ing: The Case Study of the Conference Hall at the Museo Egizio in Turin., Politecnico di Torino, 2024.
  14. A. Ahrens, K.D. Lund, M. Marschall, T. Dau, Sound source locali-zation with varying amount of visual information in virtual reali-ty, PLoS ONE 14 (2019) e0214603. https://doi.org/10.1371/journal.pone.0214603.
  15. A. Neidhardt, C. Schneiderwind, F. Klein, Perceptual Matching of Room Acoustics for Auditory Augmented Reality in Small Rooms - Literature Review and Theoretical Framework, Trends in Hearing 26 (2022) 23312165221092919. https://doi.org/10.1177/23312165221092919.
  16. International Telecommunication Union, ITU BS.1116-3, Meth-ods for the Subjective Assessment of Small Impairments in Au-dio Systems Including Multichannel Sound Systems., (n.d.).
  17. B.T. West, K.B. Welch, A.T. Gałecki, B.W. Gillespie, Linear Mixed Models: A Practical Guide Using Statistical Software, 3rd ed., Chapman and Hall/CRC, Boca Raton, 2022. https://doi.org/10.1201/9781003181064.