Automating urban soundscape enhancements with AI: In-situ assessment of quality and restorativeness in traffic-exposed residential areas☆

被引:1
|
作者
Lam, Bhan [1 ]
Ong, Zhen-Ting [1 ]
Ooi, Kenneth [1 ]
Ong, Wen-Hui [1 ]
Wong, Trevor [1 ]
Watcharasupat, Karn N. [1 ,2 ]
Boey, Vanessa [3 ]
Lee, Irene [3 ]
Hong, Joo Young [4 ]
Kang, Jian [5 ]
Lee, Kar Fye Alvin [6 ,7 ]
Christopoulos, Georgios [6 ]
Gan, Woon-Seng [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore
[2] Georgia Inst Technol, Ctr Mus Technol, J Allen Couch Bldg, 840 McMillan St NW, Atlanta, GA 30332 USA
[3] Bldg & Res Inst, Housing & Dev Board, Singapore 738973, Singapore
[4] Chungnam Natl Univ, Dept Architectural Engn, Daejeon 34134, South Korea
[5] Bartlett Univ Coll London, UCL Inst Environm Design & Engn, Cent House,14 Upper Woburn Pl, London WC1H 0NN, England
[6] Nanyang Technol Univ, Nanyang Business Sch, 50 Nanyang Ave, Singapore 639798, Singapore
[7] Univ Hong Kong, Lab Neuropsychol & Human Neurosci, Dept Psychol, Pokfulam Rd, Hong Kong, Peoples R China
基金
新加坡国家研究基金会;
关键词
Urban soundscape; Natural sounds; Auditory masking; Probabilistic approach; Soundscape augmentation; Artificial intelligence; WATER SOUNDS; NEGATIVE AFFECT; NOISE; VALIDATION; PERCEPTION; MASKING;
D O I
10.1016/j.buildenv.2024.112106
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Formalized in ISO 12913, the "soundscape" approach is a paradigmatic shift towards perception-based urban sound management, aiming to alleviate the substantial socioeconomic costs of noise pollution to advance the United Nations Sustainable Development Goals. Focusing on traffic-exposed outdoor residential sites, we implemented an automatic masker selection system (AMSS) utilizing natural sounds to mask (or augment) traffic soundscapes. We employed a pre-trained AI model to automatically select the optimal masker and adjust its playback level, adapting to changes over time in the ambient environment to maximize "Pleasantness", a perceptual dimension of soundscape quality in ISO 12913. Our validation study involving (N=68) residents revealed a significant 14.6 % enhancement in "Pleasantness" after intervention, correlating with increased restorativeness and positive affect. Perceptual enhancements at the traffic-exposed site matched those at a quieter control site with 6 dB(A) lower L-A,L-eq and road traffic noise dominance, affirming the efficacy of AMSS as a soundscape intervention, while streamlining the labour-intensive assessment of "Pleasantness" with probabilistic AI prediction.
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页数:19
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