Andrés Estrella Terneux

This PhD in machine listening is based in CVSSP and focuses on the characterisation of the listening environment using signals from the in-ear microphones of a 'hearable' device, which also comprises earphones and built-in signal processing capability. Hearables offer new opportunities to play sound in a ways that adapt and respond to the context, e.g. background noise and personal preferences. The InHEAR project (Intelligent Hearables with Environment-Aware Rendering) will develop new algorithms to maximise the listener’s experience through collaboration amongst the University of Surrey, Bang & Olufsen and Aalborg University. We are interested to extract actionable information for adapting the user’s auditory display, building on expertise developed within the Centre, e.g., in binaural localisation, sound classification and audio tracking.