Exploring Sound Sensing to Improve Quality of Life in Urban Living

Emily Corrigan-Kavanagh, Mark D Plumbley, Marc Green, Andres Fernandez

Abstract: Following the successful application of AI and machine learning technologies to the recognition of speech and images, computer systems can now automatically analyse and recognise everyday real-world sound scenes and events. This new technology presents promising potential applications in environmental sensing and urban living. Specifically, urban soundscape analysis could be used to monitor and improve soundscapes experienced for people in towns and cities, helping to identify and formulate strategies for enhancing quality of life through future urban planning and development.