Digital Audio

Digital audio research currently focuses on enhancing audio quality and accessibility, improving personalized recommendations, and detecting manipulations. This involves developing advanced algorithms, such as transformer-based architectures and graph neural networks, for tasks like speech enhancement, audiobook recommendation, and deepfake detection. These advancements are improving user experience in applications ranging from wearable technology to streaming services, while also contributing to the development of robust methods for verifying audio authenticity.