ARAUSv2: an expanded dataset and multimodal models of affective responses to augmented urban soundscapes

• Main Authors: Ooi, Kenneth, Ong, Zhen-Ting, Lam, Bhan, Wong, Trevor, Gan, Woon-Seng, Watcharasupat, Karn N.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Science::Physics::Acoustics; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Soundscape; Dataset; Regression; Deep Neural Network; Soundscape Augmentation; Auditory Masking
• Online Access: https://hdl.handle.net/10356/168665; https://internoise2023.org/program/
• Institution: Nanyang Technological University

The ARAUS (Affective Responses to Augmented Urban Soundscapes) dataset consists of a five-fold cross-validation set and independent test set of subjective perceptual responses to augmented soundscapes presented as audio-visual stimuli. However, key limitations in its original release included a disp...