Autonomous soundscape augmentation with multimodal fusion of visual and participant-linked inputs

Autonomous soundscape augmentation with multimodal fusion of visual and participant-linked inputs

Autonomous soundscape augmentation systems typically use trained models to pick optimal maskers to effect a desired perceptual change. While acoustic information is paramount to such systems, contextual information, including participant demographics and the visual environment, also influences acous...

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Bibliographic Details
Main Authors: Ooi, Kenneth, Watcharasupat, Karn, Lam, Bhan, Ong, Zhen-Ting, Gan, Woon-Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Social sciences::Psychology::Affection and emotion
Auditory Masking
Neural Attention
Multimodal Fusion
Probabilistic Loss
Deep Learning
Online Access:https://hdl.handle.net/10356/165017

Internet

https://hdl.handle.net/10356/165017

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