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

• المؤلفون الرئيسيون: Ooi, Kenneth, Watcharasupat, Karn N., Lam, Bhan, Ong, Zhen-Ting, Gan, Woon-Seng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Soundscape Augmentation; Dataset; Regression; Classification; Deep Neural Networks
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/164983; https://www.ica2022korea.org/data/Proceedings_A14.pdf; https://ica2022korea.org/
• المؤسسة: 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...