Author (s)
Kenneth Ooi, Jessie Goh, Hao-Weng Lin, Zhen-Ting Ong, Trevor Wong, Karn N. Watcharasupat, Bhan Lam, Woon-Seng Gan
Affiliation
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Publication date
2024
Abstract
This study presents a dataset of audio-visual soundscape recordings at 62 different locations in Singapore, initially made as full-length recordings over spans of 9–38 min. For consistency and reduction in listener fatigue in future subjective studies, one-minute excerpts were cropped from the full-length recordings. An automated method using pre-trained models for Pleasantness and Eventfulness (according to ISO 12913) in a modified partitioning around medoids algorithm was employed to generate the set of excerpts by balancing the need to encompass the perceptual space with uniformity in distribution. A validation study on the method confirmed its adherence to the intended design.
Full paper
https://pubs.aip.org/asa/jel/article/4/4/047402/3284897
Keywords
soundscape analysis, audio-visual dataset, perceptual clustering, urban acoustics, pleasantness and eventfulness (ISO 12913)