Visual Sound

Visual sound localization (VSL) aims to pinpoint the location of sound sources within visual scenes by integrating audio and visual data. Current research heavily focuses on improving the accuracy and robustness of VSL models, particularly in challenging scenarios with multiple sound sources, background noise, or unseen objects, employing techniques like multi-scale feature extraction, transformer networks, and early audio-visual fusion. These advancements are driven by the need for more reliable and adaptable systems with applications in areas such as environmental monitoring, assistive technologies, and robotics, where accurate scene understanding is crucial. A key challenge remains developing models that generalize well across diverse and complex real-world environments.