A benchmark comparison of perceptual models for soundscapes on a large-scale augmented soundscape dataset

• Main Authors: Ooi, Kenneth, 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: 2023
• Subjects: Engineering::Electrical and electronic engineering; Soundscape Augmentation; Dataset; Regression; Classification; Deep Neural Networks
• Online Access: https://hdl.handle.net/10356/164983; https://www.ica2022korea.org/data/Proceedings_A14.pdf; https://ica2022korea.org/
• Institution: Nanyang Technological University

Psychoacoustic indicators and spectrogram-based features are standard inputs to perceptual models for soundscape analysis. However, existing models in the soundscape literature are trained on different collections of input parameters and frequently mutually exclusive datasets, which complicates fair...