most citedAutomating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas

15 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

2 papers

eess.AS2024★ 15 cited

Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas

Bhan Lam, Zhen-Ting Ong, Kenneth Ooi +10

Formalized in ISO 12913, the "soundscape" approach is a paradigmatic shift towards perception-based urban sound management, aiming to alleviate the substantial socioeconomic costs…

eess.AS2022★ 6 cited

Deployment of an IoT System for Adaptive In-Situ Soundscape Augmentation

Trevor Wong, Karn N. Watcharasupat, Bhan Lam +4

Soundscape augmentation is an emerging approach for noise mitigation by introducing additional sounds known as "maskers" to increase acoustic comfort. Traditionally, the choice of…