![Audio Signal](https://i0.wp.com/idsc.miami.edu/wp-content/uploads/2021/03/Audio-Signal.jpeg?resize=730%2C350&ssl=1)
Multi-Scale Auralization for Multimedia Analytical Feature Interaction
Modern human-computer interaction systems use multiple perceptual dimensions to enhance intuition and efficiency of the user by improving their situational awareness. A signal processing and interaction framework is proposed for auralizing signal patterns and augmenting the visualization-focused analysis tasks of social media content analysis and annotations, with the goal of assisting the user in analyzing, retrieving, and organizing relevant information for marketing research. Read more “Multi-Scale Auralization for Multimedia Analytical Feature Interaction”