Probably pleasant? A neural-probabilistic approach to automatic masker selection for urban soundscape augmentation

• Main Authors: Ooi, Kenenth, Watcharasupat, Karn N., Lam, Bhan, Ong, Zhen-Ting, Gan, Woon-Seng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Science::Physics::Acoustics; Social sciences::Psychology::Applied psychology; Soundscape; Neural Attention; Soundscape Augmentation; Deep Learning; Probabilistic Model
• Online Access: https://hdl.handle.net/10356/158000
• Institution: Nanyang Technological University

Soundscape augmentation, which involves the addition of sounds known as “maskers” to a given soundscape, is a human-centric urban noise mitigation measure aimed at improving the overall soundscape quality. However, the choice of maskers is often predicated on laborious processes and is inflexible to...