Combined Evaluation of Room Acoustic Descriptors in Different Structural Configurations via ODEON Simulations and Artificial Neural Networks

• 出版年: Archives of Acoustics
• 主要な著者: Eriberto Oliveira DO NASCIMENTO, Paulo Henrique Trombetta ZANNIN
• フォーマット: 論文
• 言語: 英語
• 出版事項: Institute of Fundamental Technological Research Polish Academy of Sciences 2024-09-01
• 主題: speech transmission index; reverberation time; artificial neural networks; room acoustics; ODEON simulation
• オンライン･アクセス: https://acoustics.ippt.pan.pl/index.php/aa/article/view/3917
• ISSN: 0137-5075; 2300-262X

This study evaluated the combined sensitivity analysis of several room acoustic descriptors: reverberation time (T30), center time (Ts), early decay time (EDT), definition (D50), clarity (C50), useful-to-detrimental sound ratio (U50), and speech transmission index (STI); and also it assessed how these descriptors responded jointly to different acoustic-structural factors. The first-order factors were background noise (A), acoustic ceiling tile sound absorption coefficient (B), confinement (C), and occupancy (D), along with their interaction effects. A novel method is proposed for this joint evaluation of sensitivity factors. This method involves in situ measurements and an unreplicated 2^4 factorial design, which has been validated by ODEON software. The significance of input factors is determined using artificial neural networks (ANN) and the modified profile method (MPM), validated by multiple linear regression (MLR). Three significant correlation groups are identified at p < 0:05: group 1 (EDT, T30, Ts), group 2 (C50, D50), and group 3 (U50, STI). The ceiling material sound absorption (B) is found to affect reverberation (groups 1 and 2), while background noise (A) impacts STI and U50. A weak correlation is found between D50 and STI. These results are confirmed by the MLR and MPM methods.